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Contains fulltext : 291887.pdf (Publisher’s version ) (Open Access) BACKGROUND: Advanced low-grade ovarian carcinoma (LGOC) is difficult to treat. In several studies, high estrogen receptor (ER) protein expression was observed in patients with LGOC, which suggests that antihormonal therapy (AHT) is a treatment option. However, only a subgroup of patients respond to AHT, and this response cannot be adequately predicted by currently used immunohistochemistry (IHC). A possible explanation is that IHC only takes the ligand, but not the activity, of the whole signal transduction pathway (STP) into account. Therefore, in this study, the authors assessed whether functional STP activity can be an alternative tool to predict response to AHT in LGOC. METHODS: Tumor tissue samples were obtained from patients with primary or recurrent LGOC who subsequently received AHT. Histoscores of ER and progesterone receptor (PR) were determined. In addition, STP activity of the ER STP and of six other STPs known to play a role in ovarian cancer was assessed and compared with the STP activity of healthy postmenopausal fallopian tube epithelium. RESULTS: Patients who had normal ER STP activity had a progression-free survival (PFS) of 16.1 months. This was significantly shorter in patients who had low and very high ER STP activity, with a median PFS of 6.0 and 2.1 months, respectively (p

PDF file - 157K, Supplemental Table 1. Regulatory T cell genes included in this study (N=25). Supplemental Table 2. Regulatory T cell SNPs included in this study. Supplemental Table 3. Participating invasive epithelial ovarian cancer studies. Supplemental Table 4. Association between clinical variables and overall survival.

The presence of regulatory T cells (Treg) in solid tumors is known to play a role in patient survival in ovarian cancer and other malignancies. We assessed inherited genetic variations via 749 tag single-nucleotide polymorphisms (SNP) in 25 Treg-associated genes (CD28, CTLA4, FOXP3, IDO1, IL10, IL10RA, IL15, 1L17RA, IL23A, IL23R, IL2RA, IL6, IL6R, IL8, LGALS1, LGALS9, MAP3K8, STAT5A, STAT5B, TGFB1, TGFB2, TGFB3, TGFBR1, TGRBR2, and TGFBR3) in relation to ovarian cancer survival. We analyzed genotype and overall survival in 10,084 women with invasive epithelial ovarian cancer, including 5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous carcinoma cases of European descent across 28 studies from the Ovarian Cancer Association Consortium (OCAC). The strongest associations were found for endometrioid carcinoma and IL2RA SNPs rs11256497 [HR, 1.42; 95% confidence interval (CI), 1.22–1.64; P = 5.7 × 10−6], rs791587 (HR, 1.36; 95% CI, 1.17–1.57; P = 6.2 × 10−5), rs2476491 (HR, = 1.40; 95% CI, 1.19–1.64; P = 5.6 × 10−5), and rs10795763 (HR, 1.35; 95% CI, 1.17–1.57; P = 7.9 × 10−5), and for clear cell carcinoma and CTLA4 SNP rs231775 (HR, 0.67; 95% CI, 0.54–0.82; P = 9.3 × 10−5) after adjustment for age, study site, population stratification, stage, grade, and oral contraceptive use. The rs231775 allele associated with improved survival in our study also results in an amino acid change in CTLA4 and previously has been reported to be associated with autoimmune conditions. Thus, we found evidence that SNPs in genes related to Tregs seem to play a role in ovarian cancer survival, particularly in patients with clear cell and endometrioid epithelial ovarian cancer. Cancer Immunol Res; 2(4); 332–40. ©2014 AACR.

Background: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations.Methods: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls).Results: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network.Conclusion: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development.Impact: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization. Cancer Epidemiol Biomarkers Prev; 24(10); 1574–84. ©2015 AACR.

Supplementary Figures 1-5, Tables 1-8. Supplementary Figure 1: Overview of the analytic approach. Supplementary Figure 2: QQ plots of SNPs with MAF ≥0.02 and imputation r2 ≥0.9 associated with Overall Survival in A. Supplementary Figure 3: ‘All OCAC’ histology-adjusted analysis. Supplementary Figure 4: Forest plots of promising SNPs. Supplementary Figure 5: KM-Plotter graphs of significant associations with outcome. Supplementary Table 1: All studies (OCAC & TCGA) eligible for analyses according to first-line chemotherapy. Supplementary Table 2: Description of individual OCAC studies included in the secondary 'all OCAC' analysis. Supplementary Table 3a: Overall Survival estimates for selected SNPs (MAF ≥0.02) comparing iCOGS imputed (r2 ≥0.3) and iPLEX genotyped samples. Supplementary Table 3b: Progression-free Survival estimates for selected SNPs (MAF ≥0.02) comparing iCOGS imputed (r2 ≥0.3) and iPLEX genotyped samples. Supplementary Table 4: SNPs with imputation r2 ≥0.9, EAF ≥0.02 and p ≤ 1E-05 for at least one of four outcomes analyzed in cases selected according to first-line chemotherapy. Supplementary Table 5: Meta-analysis of largest possible sample (TCGA, non-overlapping iCOGS and iplex genotyped) for selected promising SNPs analyzed in cases selected according to first-line chemotherapy. Supplementary Table 6: Significant association between protein-coding genes within 1Mb of promising SNPs and ovarian cancer outcomes. Supplementary Table 7: SNPs with imputation r-sq≥0.9 and p ≤ 1E-05 for Overall Survival in histology-adj 'all OCAC' analysis. Supplementary Table 8: iCOGS estimates for SNPs previously identified to be associated with response to chemotherapy as reported in the aNHGRI GWAS catalog.

Purpose: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome.Experimental Design: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent first-line treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥4 cycles of paclitaxel and carboplatin at standard doses. We evaluated the top SNPs in 4,434 EOC patients, including patients from The Cancer Genome Atlas. In addition, we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis.Results: Five SNPs were significantly associated (P ≤ 1.0 × 10−5) with poorer outcomes in at least one of the four analyses, three of which, rs4910232 (11p15.3), rs2549714 (16q23), and rs6674079 (1q22), were located in long noncoding RNAs (lncRNAs) RP11-179A10.1, RP11-314O13.1, and RP11-284F21.8, respectively (P ≤ 7.1 × 10−6). ENCODE ChIP-seq data at 1q22 for normal ovary show evidence of histone modification around RP11-284F21.8, and rs6674079 is perfectly correlated with another SNP within the super-enhancer MEF2D, expression levels of which were reportedly associated with prognosis in another solid tumor. YAP1- and WWTR1 (TAZ)-stimulated gene expression and high-density lipoprotein (HDL)-mediated lipid transport pathways were associated with PFS and OS, respectively, in the cohort who had standard chemotherapy (pGSEA ≤6 × 10−3).Conclusions: We have identified SNPs in three lncRNAs that might be important targets for novel EOC therapies. Clin Cancer Res; 21(23); 5264–76. ©2015 AACR.

Survival in epithelial ovarian cancer (EOC) is influenced by the host immune response, yet the key genetic determinants of inflammation and immunity that affect prognosis are not known. The nuclear factor-κB (NF-κB) transcription factor family plays an important role in many immune and inflammatory responses, including the response to cancer. We studied common inherited variation in 210 genes in the NF-κB family in 10,084 patients with invasive EOC (5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous) from the Ovarian Cancer Association Consortium. Associations between genotype and overall survival were assessed using Cox regression for all patients and by major histology, adjusting for known prognostic factors and correcting for multiple testing (threshold for statistical significance, P < 2.5 × 10−5). Results were statistically significant when assessed for patients of a single histology. Key associations were with caspase recruitment domain family, member 11 (CARD11) rs41324349 in patients with mucinous EOC [HR, 1.82; 95% confidence interval (CI), 1.41–2.35; P = 4.13 × 10−6] and tumor necrosis factor receptor superfamily, member 13B (TNFRSF13B) rs7501462 in patients with endometrioid EOC (HR, 0.68; 95% CI, 0.56–0.82; P = 2.33 × 10−5). Other associations of note included TNF receptor–associated factor 2 (TRAF2) rs17250239 in patients with high-grade serous EOC (HR, 0.84; 95% CI, 0.77–0.92; P = 6.49 × 10−5) and phospholipase C, gamma 1 (PLCG1) rs11696662 in patients with clear cell EOC (HR, 0.43; 95% CI, 0.26–0.73; P = 4.56 × 10−4). These associations highlight the potential importance of genes associated with host inflammation and immunity in modulating clinical outcomes in distinct EOC histologies. Cancer Epidemiol Biomarkers Prev; 23(7); 1421–7. ©2014 AACR.

PDF - 149K, Supplemental Table 1. Participating invasive epithelial ovarian cancer studies. Supplementary Table 2. NF-κB genes studied. Supplemental Table 3. Association between clinical variables and overall survival.

Supplementary Tables S1-6, Figures S1-2. Supplementary Table S1: Summary of serous EOC GWAS data sets; Supplementary Table S2: Genes in the six significant co-expression networks; Supplementary Table S3: GSEA results after LD-based clumping of SNPs; Supplementary Table S4: GSEA results for the replication data set (COGS); Supplementary Table S5: GSEA results for all networks with > 10 genes; Supplementary Table S6: Number of intragenic SNPs and genes covered by SNPs in the different analyses; Supplementary Figure S1: Q-Q plots of the minimum P-value among all SNPs in each gene with and without the modified Sidak correction; Supplementary Figure S2: Disease Association Protein-Protein Link Evaluator (DAPPLE) protein-protein interaction network

A missense single-nucleotide polymorphism (SNP) in the immune modulatory gene IL1A has been associated with ovarian cancer risk (rs17561). Although the exact mechanism through which this SNP alters risk of ovarian cancer is not clearly understood, rs17561 has also been associated with risk of endometriosis, an epidemiologic risk factor for ovarian cancer. Interleukin-1α (IL1A) is both regulated by and able to activate NF-κB, a transcription factor family that induces transcription of many proinflammatory genes and may be an important mediator in carcinogenesis. We therefore tagged SNPs in more than 200 genes in the NF-κB pathway for a total of 2,282 SNPs (including rs17561) for genotype analysis of 15,604 cases of ovarian cancer in patients of European descent, including 6,179 of high-grade serous (HGS), 2,100 endometrioid, 1,591 mucinous, 1,034 clear cell, and 1,016 low-grade serous, including 23,235 control cases spanning 40 studies in the Ovarian Cancer Association Consortium. In this large population, we confirmed the association between rs17561 and clear cell ovarian cancer [OR, 0.84; 95% confidence interval (CI), 0.76–0.93; P = 0.00075], which remained intact even after excluding participants in the prior study (OR, 0.85; 95% CI, 0.75–0.95; P = 0.006). Considering a multiple-testing–corrected significance threshold of P < 2.5 × 10−5, only one other variant, the TNFSF10 SNP rs6785617, was associated significantly with a risk of ovarian cancer (low malignant potential tumors OR, 0.85; 95% CI, 0.79–0.91; P = 0.00002). Our results extend the evidence that borderline tumors may have a distinct genetic etiology. Further investigation of how these SNPs might modify ovarian cancer associations with other inflammation-related risk factors is warranted. Cancer Res; 74(3); 852–61. ©2013 AACR.

PDF file - 145K, Supplementary Table 1. Studies in the Ovarian Cancer Association Consortium (OCAC) are listed, as well as the abbreviation, location, type, and number of cases and controls for each study. Supplementary Table 2. The number of cases included in the analysis from each OCAC study site is listed by histologic subtype. Supplementary Table 3. Gene symbols and IDs are listed for NF-κB pathway genes that were tagged in this study, as well as chromosome position, number of SNPs tagged, and bin coverage of each gene using Hapmap or 1000 genomes as a reference. Supplementary Table 4. Reasons and numbers of samples excluded from the analysis following the sample quality control are described. Supplementary Table 5. We evaluated rs17561 and rs6785617 for interactions with known epidemiologic risk factors for risk of clear cell and LMP tumors, respectively, and report interaction p-values in the table below.

OBJECTIVE: To determine the activity of key signal transduction pathways in serous tubal intraepithelial carcinoma (STIC) and concurrent high-grade serous carcinoma (HGSC) and compare this to pathway activity in normal Fallopian tube epithelium (FTE).METHODS: We assessed mRNA expression levels of pathway-specific target genes with RT-qPCR in STIC and concurrent HGSC (n = 8) and normal FTE (n = 8). Subsequently, signal transduction pathway assays were used to assess functional activity of the androgen (AR) and estrogen receptor (ER), phosphoinositide-3-kinase (PI3K), Hedgehog (HH), transforming growth factor beta (TGF-β) and canonical wingless-type MMTV integration site (Wnt) pathways.RESULTS: There were no statistically significant differences in pathway activity between STIC and HGSC, but STIC and HGSC demonstrated significantly lower ER and higher PI3K and HH pathway activity in comparison to normal FTE, suggesting these pathways as putative early drivers. In addition, we determined FOXO3a protein expression by immunohistochemistry and found loss of FOXO3a protein expression in STIC and HGSC compared to normal FTE. This observation confirmed that activation of PI3K signaling by loss of FOXO is an early hallmark of serous carcinogenesis. Furthermore, HGSC demonstrated significant loss of AR and Wnt pathway activity in relation to FTE, suggesting these pathways contribute to disease progression.CONCLUSION: Our observations, together with the previously described associations between p53 signaling and both PI3K and HH pathway activity, provide evidence that increased PI3K and HH pathway activity and loss of ER pathway activity may be underlying events contributing to neoplastic transformation of FTE into STIC.

Objective. To determine the clinical benefit of monotherapy with PI3K/AKT/mTOR inhibitors in patients diagnosed with advanced or recurrent ovarian cancer and to investigate the predictive value of current PI3K/AKT/ mTOR biomarkers on therapy response. Methods. A systematic search was conducted in PubMed, Embase and the Cochrane Library for articles reporting on treatment with PI3K/AKT/mTOR inhibitors in ovarian cancer. The primary endpoint was defined as the clinical benefit rate (CBR), including the proportion of patients with complete (CR) and partial response (PR) and stable disease (SD). Secondary endpoints included the overall response rate (ORR, including CR and PR) and drug-related grade 3 and 4 adverse events. Results. We included 233 patients from 19 studies and observed a pooled CBR of 32% (95% CI 20-44%) and ORR of 3% (95% CI 0-6%) in advanced or recurrent ovarian cancer patients treated with PI3K/AKT/mTOR inhibitors. Subgroup analysis tended to favor the studies who selected patients based on current PI3K/AKT/mTOR biomarker criteria (e.g. genomic alterations or loss of PTEN protein expression), but the difference in CBR was not statistically significant from studies with unselected populations (respectively, CBR of 42% (95% CI 23-62%) and 27% (95% CI 14-42%), P = 0.217). To better reflect true patient benefit, we excluded SD

Contains fulltext : 220978.pdf (Publisher’s version ) (Open Access) AIM: Recently, the safety of laparoscopic radical hysterectomy (LRH) has been called into question in early-stage cervical cancer. This study aimed to evaluate overall survival (OS) and disease-free survival (DFS) in patients treated with abdominal radical hysterectomy (ARH) and LRH for early-stage cervical cancer and to provide a literature review. METHODS: Patients diagnosed between 2010 and 2017 with International Federation of Gynaecology and Obstetrics (2009) stage IA2 with lymphovascular space invasion, IB1 and IIA1, were identified from the Netherlands Cancer Registry. Cox regression with propensity score, based on inverse probability treatment weighting, was applied to examine the effect of surgical approach on 5-year survival and calculate hazard ratios (HR) and 95% confidence intervals (CIs). Literature review included observational studies with (i) analysis on tumours /=30 months (iii) >/=5 events per predictor parameter in multivariable analysis or a propensity score. RESULTS: Of the 1109 patients, LRH was performed in 33%. Higher mortality (9.4% vs. 4.6%) and recurrence (13.1% vs. 7.3%) were observed in ARH than LRH. However, adjusted analyses showed similar DFS (89.4% vs. 90.2%), HR 0.92 [95% CI: 0.52-1.60]) and OS (95.2% vs. 95.5%), HR 0.94 [95% CI: 0.43-2.04]). Analyses on tumour size (/=2 cm) also gave similar survival rates. Review of nine studies showed no distinct advantage of ARH, especially in tumours

Introduction The local environment of the fallopian tube represents the optimal conditions for reproductive processes. To maintain tissue homeostasis, signal transduction pathways are thought to play a pivotal role. Enhancing our understanding of functional signal transduction pathway activity is important to be able to clarify the role of aberrant signal transduction pathway activity leading to female subfertility and other tubal diseases. Therefore, in this study we investigate the influence of the hormonal cycle on the activity of key signal transduction pathways in the fimbrial epithelium of morphologically normal fallopian tubes. Material and methods We included healthy pre- (n = 17) and postmenopausal (n = 8) patients who had surgical interventions for benign gynecologic conditions. Histologic sections of the fallopian tubes were reviewed by two pathologists and, for the premenopausal patients, hormone serum levels and sections of the endometrium were examined to determine the hormonal phase (early follicular [n = 4], late follicular [n = 3], early luteal [n = 5], late luteal [n = 5]). After laser capture microdissection, total mRNA was extracted from the fimbrial epithelium and real-time quantitative reverse transcription-PCR was performed to determine functional signal transduction pathway activity of the androgen receptor (AR), estrogen receptor (ER), phosphoinositide-3-kinase (PI3K), Hedgehog (HH), transforming growth factor-beta (TGF-beta) and canonical wingless-type MMTV integration site (Wnt) pathways. Results The early luteal phase demonstrated high AR and ER pathway activity in comparison with the late luteal phase (p = 0.016 and p = 0.032, respectively) and low PI3K activity compared with the late follicular phase (p = 0.036), whereas the late luteal phase showed low activity of HH and Wnt compared with the early follicular phase (both p = 0.016). Signal transduction pathway activity in fimbrial epithelium from postmenopausal patients was most similar to the early follicular and/or late luteal phase with regard to the AR, ER and PI3K pathways. Wnt pathway activity in postmenopausal patients was comparable to the late follicular and early luteal phase. We observed no differences in HH and TGF-beta pathway activity between pre- and postmenopausal samples. The cyclic changes in signal transduction pathway activity suggest a stage-specific function which may affect the morphology and physiology of the human fallopian tube. Conclusions We demonstrated cyclic changes in activity of the AR, ER, PI3K, HH and Wnt pathways throughout the hormonal cycle.

Objective Sentinel lymph node (SLN) detection in ovarian cancer is feasible when tracers are injected before the pathological ovary is resected. This study aims to investigate whether the SLN identification is also feasible in patients whose ovarian tumor has already been resected with injection of the tracer into the ovarian ligaments stumps, i.e. in the event that a frozen section confirms malignancy. Methods Patients who underwent laparotomy with frozen section confirming an ovarian malignancy, and those who underwent a second staging laparotomy after prior resection of a malignant ovarian mass, were included. Blue dye and a radioactive isotope were injected in the stumps of the ligamentum ovarium proprium and the ligamentum infundibulo-pelvicum. After an interval of at least 15-min, the sentinel node(s) were identified using either the gamma-probe and / or blue dye. Results A total of 11 patients were included in the study, the sentinel node (SLN) procedure was completed in all 11 patients. At least one SLN was identified in 3 patients, resulting in a rather low detection rate of 27,3%. Conclusion In this study we showed that SLN procedure after (previous) resection of the tumor seems inferior to detect sentinel nodes when compared to injection of the tracer in the ovarian ligaments before tumor resection. Trial registration NCT02540551

Pelvic and para-aortic lymphadenectomy is routinely performed in early ovarian cancer to define the stage of the disease. However, it may be associated with increased blood loss, operative time, and length of hospitalization. The sentinel lymph node technique has been shown to be safe and feasible in vulvar, uterine, and cervical cancer. Data detailing feasibility and outcomes of sentinel lymph node mapping in ovarian cancer are scarce.To summarize the studies evaluating the feasibility of sentinel lymph node detection from the ovary, examining the technique and detection rate.A systematic search of the literature was performed using PubMed and Embase from June 1991 to February 2019. Studies describing the sentinel lymph node technique and lymphatic drainage of the ovaries were incorporated in this review. Ten articles were selected, comprising a total of 145 patients. A variety of agents were used, but the primary markers were technetium-99m radiocolloid (Tc-99m), patent blue, or indocyanine green, and the most common injection site was the ovarian ligaments.The overall sentinel lymph node detection rate was 90.3%.We propose a standardized technique sentinel lymph node mapping in ovarian cancer, using indocyanine green, or Tc-99m and blue dye as alternative tracers, injected in both the suspensory and the infundibulopelvic ligament of the ovary.

Contains fulltext : 229280.pdf (Publisher’s version ) (Closed access) OBJECTIVE: Decrease in skeletal muscle index (SMI) during neoadjuvant chemotherapy (NACT) has been associated with worse outcome in patients with advanced ovarian cancer. To validate these findings, we tested if a decrease in SMI was a prognostic factor for a homogenous cohort of patients who received NACT in the randomized phase 3 OVHIPEC-trial. METHODS: CT-scans were performed at baseline and after two cycles of neoadjuvant chemotherapy in stage III ovarian cancer patients. The SMI (skeletal muscle area in cm(2) divided by body surface area in m(2)) was calculated using SliceOMatic software. The difference in SMI between both CT-scans (ΔSMI) was calculated. Cox-regression analyses were performed to analyze the independent effect of a difference in SMI (ΔSMI) on outcome. Log-rank tests were performed to plot recurrence-free (RFS) and overall survival (OS). The mean number of adverse events per patient were compared between groups using t-tests. RESULTS: Paired CT-scans were available for 212 out of 245 patients (87%). Thirty-four of 74 patients (58%) in the group with a decrease in ΔSMI and 73 of 138 of the patients (53%) in the group with stable/increase in ΔSMI had died. Median RFS and OS did not differ significantly (p = 0.297 and p = 0.764) between groups. Patients with a decrease in SMI experienced more pre-operative adverse events, and more grade 3-4 adverse events. CONCLUSION: Decreased SMI during neoadjuvant chemotherapy was not associated with worse outcome in patients with stage III ovarian cancer included in the OVHIPEC-trial. However, a strong association between decreasing SMI and adverse events was found.

To analyze how well untrained examiners - without experience in the use of International Ovarian Tumor Analysis (IOTA) terminology or simple ultrasound-based rules (simple rules) - are able to apply IOTA terminology and simple rules and to assess the level of agreement between non-experts and an expert. This prospective multicenter cohort study enrolled women with ovarian masses. Ultrasound was performed by non-expert examiners and an expert. Ultrasound features were recorded using IOTA nomenclature, and used for classifying the mass by simple rules. Interobserver agreement was evaluated with Fleiss' kappa and percentage agreement between observers. 50 consecutive women were included. We observed 46 discrepancies in the description of ovarian masses when non-experts utilized IOTA terminology. Tumor type was misclassified often (n = 22), resulting in poor interobserver agreement between the non-experts and the expert (kappa = 0.39, 95 %-CI 0.244 - 0.529, percentage of agreement = 52.0 %). Misinterpretation of simple rules by non-experts was observed 57 times, resulting in an erroneous diagnosis in 15 patients (30 %). The agreement for classifying the mass as benign, malignant or inconclusive by simple rules was only moderate between the non-experts and the expert (kappa = 0.50, 95 %-CI 0.300 - 0.704, percentage of agreement = 70.0 %). The level of agreement for all 10 simple rules features varied greatly (kappa index range: -0.08 - 0.74, percentage of agreement 66 - 94 %). Although simple rules are useful to distinguish benign from malignant adnexal masses, they are not that simple for untrained examiners. Training with both IOTA terminology and simple rules is necessary before simple rules can be introduced into guidelines and daily clinical practice.ZIEL: Analyse, ob ungeübte Anwender – ohne Erfahrung mit der „International Ovarian Tumor Analysis“ (IOTA)- Terminologie oder einfache ultraschallbasierten Regeln („Simple Rules“) – in der Lage sind, IOTA-Kriterien und „Simple Rules“ anzuwenden. Auch wird der Grad der Übereinstimmung zwischen Nichtexperten und Experten bewertet.Diese prospektive multizentrische Kohortenstudie nahm Frauen mit ovarialen Raumforderungen auf. Die Sonografie wurde von Nichtexperten und einem Experten durchgeführt. Ultraschall-Kriterien wurden mittels IOTA-Nomenklatur dokumentiert und dann für die Klassifizierung der Raumforderung mittels „Simple Rules“ verwendet. Die Intraobserver-Übereinstimmung zwischen den Beobachtern wurde durch Fleiss-Kappa und prozentualer Übereinstimmung bewertet. Eingeschlossen wurden 50 aufeinander folgende Frauen. Wir beobachteten 46 Diskrepanzen bei der Beschreibung der ovarialen Raumforderungen, wenn Nichtexperten die IOTA-Terminologie benutzten. Der Tumortyp wurde häufig falsch klassifiziert (n = 22), was zu einer schlechten Interobserver-Übereinstimmung zwischen Nichtexperten und Experten führte (Kappa = 0,39; 95 %-CI 0,244 – 0,529; prozentuale Übereinstimmung = 52,0 %). Eine Falschinterpretation der „Simple Rules“ durch Nichtexperten wurde 57 Mal beobachtet und führte bei 15 Patienten (30 %) zu einer Falschdiagnose. Die Übereinstimmung bei der Klassifizierung einer Raumforderung als gutartig, maligne oder nicht eindeutig durch die „Simple Rules“ war zwischen Nichtexperten und Experten nur mittelmäßig (Kappa = 0,50; 95 %-CI 0,300 – 0,704; prozentuale Übereinstimmung = 70,0 %). Der Grad der Übereinstimmung bei allen 10 „Simple Rules“-Kriterien variierte enorm (Kappa-Index-Bereich: -0,08 – 0,74; prozentuale Übereinstimmung 66 – 94 %). Obwohl die „Simple Rules“ nützlich sind, um benigne und maligne adnexale Raumforderungen zu unterscheiden, sind diese für ungeübte Untersucher nicht so einfach zu handhaben. Schulungen die sowohl IOTA-Terminologie als auch „Simple Rules“, zum Inhalt haben sind notwendig, noch ehe „Simple Rules“ in Leitlinien und den Praxisalltag Eingang finden.

Although p53 protein aggregates have been observed in cancer cell lines and tumour tissue, their impact in cancer remains largely unknown. Here, we extensively screened for p53 aggregation phenotypes in tumour biopsies, and identified nuclear inclusion bodies (nIBs) of transcriptionally inactive mutant or wild-type p53 as the most frequent aggregation-like phenotype across six different cancer types. p53-positive nIBs co-stained with nuclear aggregation markers, and shared molecular hallmarks of nIBs commonly found in neurodegenerative disorders. In cell culture, tumour-associated stress was a strong inducer of p53 aggregation and nIB formation. This was most prominent for mutant p53, but could also be observed in wild-type p53 cell lines, for which nIB formation correlated with the loss of p53's transcriptional activity. Importantly, protein aggregation also fuelled the dysregulation of the proteostasis network in the tumour cell by inducing a hyperactivated, oncogenic heat-shock response, to which tumours are commonly addicted, and by overloading the proteasomal degradation system, an observation that was most pronounced for structurally destabilized mutant p53. Patients showing tumours with p53-positive nIBs suffered from a poor clinical outcome, similar to those with loss of p53 expression, and tumour biopsies showed a differential proteostatic expression profile associated with p53-positive nIBs. p53-positive nIBs therefore highlight a malignant state of the tumour that results from the interplay between (1) the functional inactivation of p53 through mutation and/or aggregation, and (2) microenvironmental stress, a combination that catalyses proteostatic dysregulation. This study highlights several unexpected clinical, biological and therapeutically unexplored parallels between cancer and neurodegeneration. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Introduction/Background In the previous decades, laparoscopic radical hysterectomy (LRH) has been introduced as alternative to abdominal radical hysterectomy (ARH) in early-stage cervical cancer. In 2018, results from the first prospective randomised study (the ‘LACC’ trial) were published, reporting inferior survival in patients treated with LRH. Therefore, we aimed to evaluate survival outcomes for patients treated with ARH and LRH for early-stage cervical cancer, in the Netherlands. Methodology In this retrospective study, patients diagnosed between 2010 and 2017 with cervical cancer FIGO (2009) stage IA2 with lymphovascular space invasion, IB1 and IIA1, who underwent ARH or LRH, were identified from the Netherlands Cancer Registry. Weighted multivariable Cox regression with propensity score, based on Inverse Probability Treatment Weighting, was applied to examine the effect of ARH and LRH on overall survival (OS) and disease-free survival (DFS). Results Of the 1107 patients, ARH was performed in 738 (67%) and LRH in 369 patients (of which 73% treated by robot surgery). Pathological lymph nodes were more often observed in the ARH group (18% vs. 8%), as were tumours ≥20 mm (62% vs. 36%), depth of invasion >10 mm (31% vs. 14%), surgical margin involvement (4% vs. 1%) and recurrences (13% vs. 7%). Patients with ARH also showed higher mortality (9% vs. 5%) and lower unadjusted 5-year OS (85% vs. 92%) and 5-year DFS (83% vs. 91%). However, weighted Cox regression analyses showed similar 5-year OS (95% vs. 95%) and 5-year DFS (89% vs. 89%) in both groups. Subanalyses on clinical tumour size showed similar 5-year OS (98% vs. 99%) and 5-year DFS (93% vs. 96%) for tumours Conclusion Our observational data showed no difference in survival between ARH and LRH for early-stage cervical cancer, in the Netherlands. Disclosure None of the authors received financial support for the research and/or authorship of this article. Hans Wenzel - Nothing to disclose; Ramon Smolders - Nothing to disclose; Jogchum Beltman - Nothing to disclose; Sandrina Lambrechts - Nothing to disclose; Hans Trum - Nothing to disclose; Refika Yigit - Nothing to disclose; Petra Zusterzeel - Nothing to disclose; Ronald Zweemer - Proctor Intuitive Surgical; Ruud Bekkers - Nothing to disclose; Maaike van der Aa - Nothing to disclose.

Introduction/Background Skeletal muscle depletion in women with advanced ovarian cancer has been associated with adverse clinical outcome and survival. To validate earlier results in a homogenous population, we analyzed whether a decrease in skeletal muscle index (SMI) during neo-adjuvant chemotherapy (NACT) is associated with worse outcome in patients with stage III epithelial ovarian cancer, who were included in the OVHIPEC trial. Methodology Within the phase III OVHIPEC trial, 245 patients with stage III ovarian cancer were randomized after three cycles of NACT with carboplatin and paclitaxel to receive interval cytoreductive surgery (CRS) with or without HIPEC. Randomization was performed after at least stable disease after two cycles of NACT, and when complete or optimal CRS was achieved. CT-scans performed at baseline (timepoint 1), and after two cycles of NACT (timepoint 2) were selected. A slide on the third lumbar level was selected from each CT-scan, and the difference in SMI between both scans (ΔSMI) was calculated using SliceOMatic. Overall and recurrence-free survival of patients with a decrease or increase in ΔSMI were performed using Kaplan-Meier estimates and log-rank tests. Results Of the 245 patients randomized in the OVHIPEC trial, SMI and ΔSMI of scans at both timepoints were available for 212 patients (87%). After a median follow-up of 4.7 years, 116 of 212 patients (55%) had died. In survival analysis, 43 of 74 patients (58%) in the group with a decrease in ΔSMI, and 73 of 138 of the patients (53%) in the group with stable/increase in ΔSMI had died. Median overall survival did not differ significantly(p=0.764). Conclusion A decreasing skeletal muscle index during neo-adjuvant chemotherapy was not associated with worse outcome in patients with stage III ovarian cancer, who were treated with complete/optimal interval CRS and six cycles of chemotherapy within the OVHIPEC trial. Disclosure Nothing to disclose.

BACKGROUND: Sarcopenia is the loss of skeletal muscle mass and function that occurs with advancing age and certain diseases. It is thought to have a negative impact on survival in cancer patients. Routine computed tomography imaging is often used to quantify skeletal muscle in cancer patients. Sarcopenia is defined by a low skeletal muscle index (SMI). Skeletal muscle radiation attenuation (SMRA) is used to define muscle quality. The primary aim of this meta-analysis was to study the association between sarcopenia or SMRA and overall survival (OS) or complications in patients with ovarian cancer. METHODS: Medline, Embase, CINAHL, and PEDro databases were searched from inception to 15 February 2019. Studies evaluating the prognostic effect of SMI and SMRA on ovarian cancer survival or surgical complications were included. Risk of bias and study quality were evaluated with the Quality in Prognosis Studies Instrument (QUIPS) according to the modified Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. RESULTS: The search strategy yielded 4262 hits in all four databases combined. Ten and eight studies were included for qualitative and quantitative analysis, respectively. Meta-analysis revealed a significant association between the SMI and OS [0.007; hazard ratio (HR): 1.11, 95% confidence interval (CI): 1.03-1.20]. SMRA was also significantly associated with OS (P < 0.001; HR: 1.14, 95% CI: 1.08-1.20). Association between the SMI and surgical complications had borderline statistical significance (0.05; HR: 1.23, 95% CI: 1.00-1.52). The risk of bias assessed with QUIPS was high in all studies. The quality of the evidence was very low. CONCLUSIONS: Whereas our meta-analysis indicated that a low SMI and low SMRA are associated with survival in ovarian cancer patients, the low quality of the source data precludes drawing definitive conclusions. ispartof: JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE vol:10 issue:6 pages:1165-1174 ispartof: location:Germany status: published

Genome-wide association studies have identified 40 ovarian cancer risk loci. However, the mechanisms underlying these associations remain elusive. In this study, we conducted a two-pronged approach to identify candidate causal SNPs and assess underlying biological mechanisms at chromosome 9p22.2, the first and most statistically significant associated locus for ovarian cancer susceptibility. Three transcriptional regulatory elements with allele-specific effects and a scaffold/matrix attachment region were characterized and, through physical DNA interactions, BNC2 was established as the most likely target gene. We determined the consensus binding sequence for BNC2 in vitro, verified its enrichment in BNC2 ChIP-seq regions, and validated a set of its downstream target genes. Fine-mapping by dense regional genotyping in over 15,000 ovarian cancer cases and 30,000 controls identified SNPs in the scaffold/matrix attachment region as among the most likely causal variants. This study reveals a comprehensive regulatory landscape at 9p22.2 and proposes a likely mechanism of susceptibility to ovarian cancer. Significance: Mapping the 9p22.2 ovarian cancer risk locus identifies BNC2 as an ovarian cancer risk gene. See related commentary by Choi and Brown, p. 439

The sphingolipid and lysophosphatidate regulatory networks impact diverse mechanisms attributed to cancer cells and the tumor immune microenvironment. Deciphering the complexity demands implementation of a holistic approach combined with higher-resolution techniques. We implemented a multi-modular integrative approach consolidating the latest accomplishments in gene expression profiling, prognostic/predictive modeling, next generation digital pathology, and systems biology for epithelial ovarian cancer. We assessed patient-specific transcriptional profiles using the sphingolipid/lysophosphatidate/immune-associated signature. This revealed novel sphingolipid/lysophosphatidate-immune gene-gene associations and distinguished tumor subtypes with immune high/low context. These were characterized by robust differences in sphingolipid‐/lysophosphatidate-related checkpoints and the drug response. The analysis also nominates novel survival models for stratification of patients with CD68, LPAR3, SMPD1, PPAP2B, and SMPD2 emerging as the most prognostically important genes. Alignment of proprietary data with curated transcriptomic data from public databases across a variety of malignancies (over 600 categories; over 21,000 arrays) showed specificity for ovarian carcinoma. Our systems approach identified novel sphingolipid-lysophosphatidate-immune checkpoints and networks underlying tumor immune heterogeneity and disease outcomes. This holds great promise for delivering novel stratifying and targeting strategies. Keywords: Sphingolipid/lysophosphatidate system, On-site immune response, Patient-specific expression data sets, Integrative analysis algorithm, Patient stratification, From systems biology to systems medicine

Contains fulltext : 170949.pdf (Publisher’s version ) (Closed access) BACKGROUND: Observational studies have reported a positive association between body mass index (BMI) and ovarian cancer risk. However, questions remain as to whether this represents a causal effect, or holds for all histological subtypes. The lack of association observed for serous cancers may, for instance, be due to disease-associated weight loss. Mendelian randomization (MR) uses genetic markers as proxies for risk factors to overcome limitations of observational studies. We used MR to elucidate the relationship between BMI and ovarian cancer, hypothesizing that genetically predicted BMI would be associated with increased risk of non-high grade serous ovarian cancers (non-HGSC) but not HGSC. METHODS: We pooled data from 39 studies (14 047 cases, 23 003 controls) in the Ovarian Cancer Association Consortium. We constructed a weighted genetic risk score (GRS, partial F-statistic = 172), summing alleles at 87 single nucleotide polymorphisms previously associated with BMI, weighting by their published strength of association with BMI. Applying two-stage predictor-substitution MR, we used logistic regression to estimate study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted BMI and risk, and pooled these using random-effects meta-analysis. RESULTS: Higher genetically predicted BMI was associated with increased risk of non-HGSC (pooled OR = 1.29, 95% CI 1.03-1.61 per 5 units BMI) but not HGSC (pooled OR = 1.06, 95% CI 0.88-1.27). Secondary analyses stratified by behaviour/subtype suggested that, consistent with observational data, the association was strongest for low-grade/borderline serous cancers (OR = 1.93, 95% CI 1.33-2.81). CONCLUSIONS: Our data suggest that higher BMI increases risk of non-HGSC, but not the more common and aggressive HGSC subtype, confirming the observational evidence.

Thymidylate synthase (TYMS) is a crucial enzyme for DNA synthesis. TYMS expression is regulated by its antisense mRNA, ENOSF1. Disrupted regulation may promote uncontrolled DNA synthesis and tumor growth. We sought to replicate our previously reported association between rs495139 in the TYMS-ENOSF1 3′ gene region and increased risk of mucinous ovarian carcinoma (MOC) in an independent sample. Genotypes from 24,351 controls to 15,000 women with invasive OC, including 665 MOC, were available. We estimated per-allele odds ratios (OR) and 95% confidence intervals (CI) using unconditional logistic regression, and meta-analysis when combining these data with our previous report. The association between rs495139 and MOC was not significant in the independent sample (OR = 1.09, 95% CI = 0.97–1.22, p = 0.15, N = 665 cases). Meta-analysis suggested a weak association (OR = 1.13, 95% CI = 1.03–1.24, p = 0.01, N = 1019 cases). No significant association with risk of other OC histologic types was observed (p = 0.05 for tumor heterogeneity). In expression quantitative trait locus (eQTL) analysis, the rs495139 allele was positively associated with ENOSF1 mRNA expression in normal tissues of the gastrointestinal system, particularly esophageal mucosa (r = 0.51, p = 1.7 × 10−28), and nonsignificantly in five MOC tumors. The association results, along with inconclusive tumor eQTL findings, suggest that a true effect of rs495139 might be small.

ObjectiveThe aim of this study was to assess the safety and feasibility of macroscopically complete (R0) secondary debulking surgery (SDS) in a single-center cohort of patients with recurrent ovarian cancer. The performances of existing prediction models (DESKTOP score, Tian model) for R0 SDS were evaluated in this cohort.MethodsPatient, disease, and treatment characteristics of 102 patients undergoing SDS for recurrent ovarian cancer at the University Hospitals Leuven between 1997 and 2014 were collected.ResultsR0 SDS was achieved in 73% of patients and associated with improved progression-free survival (P = 0.0002) and overall survival (P = 0.0003) compared with non-R0 resection. Variables associated with R0 SDS were site of relapse (P = 0.046) and absence of ascites (P = 0.045). The DESKTOP score and Tian model showed positive predictive values for R0 SDS of 80% and 73%, respectively. However, a false-negative rate for R0 resection of 61% and 70% was observed in our study. Progression-free survival and overall survival did not significantly differ between DESKTOP score–positive and –negative patients with R0 SDS.ConclusionsWe confirmed a high positive predictive value in the selection of candidates for R0 SDS with the DESKTOP score and the Tian model. However, because 61% and 70% of the patients with a negative score were debulked to R0, we suggest that other selection criteria based on anatomic and metabolic imaging such as whole-body diffusion-weighted magnetic resonance imaging should be evaluated when selecting patients for SDS.

Epithelial ovarian cancer (EOC) is the fifth leading cause of cancer mortality in American women. Normal ovarian physiology is intricately connected to small GTP binding proteins of the Ras superfamily (Ras, Rho, Rab, Arf, and Ran) which govern processes such as signal transduction, cell proliferation, cell motility, and vesicle transport. We hypothesized that common germline variation in genes encoding small GTPases is associated with EOC risk. We investigated 322 variants in 88 small GTPase genes in germline DNA of 18,736 EOC patients and 26,138 controls of European ancestry using a custom genotype array and logistic regression fitting log-additive models. Functional annotation was used to identify biofeatures and expression quantitative trait loci that intersect with risk variants. One variant, ARHGEF10L (Rho guanine nucleotide exchange factor 10 like) rs2256787, was associated with increased endometrioid EOC risk (OR = 1.33, p = 4.46 x 10-6). Other variants of interest included another in ARHGEF10L, rs10788679, which was associated with invasive serous EOC risk (OR = 1.07, p = 0.00026) and two variants in AKAP6 (A-kinase anchoring protein 6) which were associated with risk of invasive EOC (rs1955513, OR = 0.90, p = 0.00033; rs927062, OR = 0.94, p = 0.00059). Functional annotation revealed that the two ARHGEF10L variants were located in super-enhancer regions and that AKAP6 rs927062 was associated with expression of GTPase gene ARHGAP5 (Rho GTPase activating protein 5). Inherited variants in ARHGEF10L and AKAP6, with potential transcriptional regulatory function and association with EOC risk, warrant investigation in independent EOC study populations. ispartof: PLOS ONE vol:13 issue:7 ispartof: location:United States status: published

Background:\ud \ud Observational studies suggest greater height is associated with increased ovarian cancer risk, but cannot exclude bias and/or confounding as explanations for this. Mendelian randomisation (MR) can provide evidence which may be less prone to bias.\ud Methods:\ud \ud We pooled data from 39 Ovarian Cancer Association Consortium studies (16,395 cases; 23,003 controls). We applied two-stage predictor-substitution MR, using a weighted genetic risk score combining 609 single-nucleotide polymorphisms. Study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted height and risk were pooled using random-effects meta-analysis.\ud Results:\ud \ud Greater genetically predicted height was associated with increased ovarian cancer risk overall (pooled-OR (pOR) = 1.06; 95% CI: 1.01–1.11 per 5 cm increase in height), and separately for invasive (pOR = 1.06; 95% CI: 1.01–1.11) and borderline (pOR = 1.15; 95% CI: 1.02–1.29) tumours.\ud Conclusions:\ud \ud Women with a genetic propensity to being taller have increased risk of ovarian cancer. This suggests genes influencing height are involved in pathways promoting ovarian carcinogenesis.

Background: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations. Methods: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). Results: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. Conclusion: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. Impact: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization. Cancer Epidemiol Biomarkers Prev; 24(10); 1574–84. ©2015 AACR.

Epithelial-mesenchymal transition (EMT) is a process whereby epithelial cells assume mesenchymal characteristics to facilitate cancer metastasis. However, EMT also contributes to the initiation and development of primary tumors. Prior studies that explored the hypothesis that EMT gene variants contribute to epithelial ovarian carcinoma (EOC) risk have been based on small sample sizes and none have sought replication in an independent population. We screened 15,816 single-nucleotide polymorphisms (SNPs) in 296 genes in a discovery phase using data from a genome-wide association study of EOC among women of European ancestry (1,947 cases and 2,009 controls) and identified 793 variants in 278 EMT-related genes that were nominally (P < 0.05) associated with invasive EOC. These SNPs were then genotyped in a larger study of 14,525 invasive-cancer patients and 23,447 controls. A P-value

Genome-wide association studies have identified several risk associations for ovarian carcinomas (OC) but not for mucinous ovarian carcinomas (MOC). Genotypes from OC cases and controls were imputed into the 1000 Genomes Project reference panel. Analysis of 1,644 MOC cases and 21,693 controls identified three novel risk associations: rs752590 at 2q13 (P = 3.3 × 10−8), rs711830 at 2q31.1 (P = 7.5 × 10−12) and rs688187 at 19q13.2 (P = 6.8 × 10−13). Expression Quantitative Trait Locus (eQTL) analysis in ovarian and colorectal tumors (which are histologically similar to MOC) identified significant eQTL associations for HOXD9 at 2q31.1 in ovarian (P = 4.95 × 10−4, FDR = 0.003) and colorectal (P = 0.01, FDR = 0.09) tumors, and for PAX8 at 2q13 in colorectal tumors (P = 0.03, FDR = 0.09). Chromosome conformation capture analysis identified interactions between the HOXD9 promoter and risk SNPs at 2q31.1. Overexpressing HOXD9 in MOC cells augmented the neoplastic phenotype. These findings provide the first evidence for MOC susceptibility variants and insights into the underlying biology of the disease.

OBJECTIVES: To validate externally the performance of the Assessment of Different NEoplasias in the adneXa (ADNEX) model and compare this model with other frequently used models in the differentiation between benign and malignant adnexal masses. METHODS: In this retrospective diagnostic accuracy study, we assessed data collected prospectively from patients with adnexal pathology who underwent real-time transvaginal or transrectal ultrasound by a single expert ultrasonographer in a tertiary care hospital between July 2011 and July 2015. The presence of a malignancy was determined by subjective assessment and use of four prediction models: the ADNEX model, simple ultrasound-based rules (simple rules), Logistic Regression model 2 (LR2) and the Risk of Malignancy Index (RMI), of which three different variants were assessed. Pathology was the clinical reference standard. RESULTS: In total, 851 consecutive patients underwent ultrasound examination for an adnexal mass. For 326 patients (128 premenopausal and 198 postmenopausal), pathology results were available (211 (64.7%) benign; 115 (35.3%) malignant) and these were included in the analysis. The area under the receiver-operating characteristics curve (AUC) of the ADNEX model for the discrimination between benign and malignant tumors was 0.93 (95% CI, 0.89-0.95). AUCs for the subtypes of malignancy (i.e. borderline, Stage I-IV and metastatic adnexal tumors) ranged between 0.60 and 0.90. Only subjective assessment (AUC, 0.96 (95% CI, 0.93-0.98)) was superior to the ADNEX model (P = 0.01) in differentiating malignant from benign tumors. AUCs for the other models were 0.92 (95% CI, 0.89-0.95) for LR2, 0.85 (95% CI, 0.81-0.89) for RMI-I, 0.82 (95% CI, 0.77-0.86) for RMI-II and 0.84 (95% CI, 0.80-0.88) for RMI-III. At the proposed cut-off of ≥ 10%, the ADNEX model had the highest sensitivity (0.98 (95% CI, 0.93-1.00)) but the lowest specificity (0.62 (95% CI, 0.55-0.68)) compared with the other models. Both subjective assessment (sensitivity, 0.90 (95% CI, 0.83-0.95); specificity 0.91 (95% CI, 0.86-0.94)) and the simple rules model with inconclusive cases classified by subjective assessment (sensitivity, 0.89 (95% CI, 0.81-0.94); specificity, 0.90 (95% CI, 0.85-0.94)) had lower sensitivity, but their sensitivity and specificity were better balanced. CONCLUSIONS: Although the test performance of subjective assessment by an expert remains superior, the ADNEX model can help in the differentiation between benign and malignant ovarian tumors. The advantage of the ADNEX model as a polytomous model remains to be shown. © 2016 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology. ispartof: ULTRASOUND IN OBSTETRICS & GYNECOLOGY vol:49 issue:6 pages:784-792 ispartof: location:England status: published

The presence of regulatory T cells (Treg) in solid tumors is known to play a role in patient survival in ovarian cancer and other malignancies. We assessed inherited genetic variations via 749 tag single-nucleotide polymorphisms (SNP) in 25 Treg-associated genes (CD28, CTLA4, FOXP3, IDO1, IL10, IL10RA, IL15, 1L17RA, IL23A, IL23R, IL2RA, IL6, IL6R, IL8, LGALS1, LGALS9, MAP3K8, STAT5A, STAT5B, TGFB1, TGFB2, TGFB3, TGFBR1, TGRBR2, and TGFBR3) in relation to ovarian cancer survival. We analyzed genotype and overall survival in 10,084 women with invasive epithelial ovarian cancer, including 5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous carcinoma cases of European descent across 28 studies from the Ovarian Cancer Association Consortium (OCAC). The strongest associations were found for endometrioid carcinoma and IL2RA SNPs rs11256497 [HR, 1.42; 95% confidence interval (CI), 1.22–1.64; P = 5.7 × 10−6], rs791587 (HR, 1.36; 95% CI, 1.17–1.57; P = 6.2 × 10−5), rs2476491 (HR, = 1.40; 95% CI, 1.19–1.64; P = 5.6 × 10−5), and rs10795763 (HR, 1.35; 95% CI, 1.17–1.57; P = 7.9 × 10−5), and for clear cell carcinoma and CTLA4 SNP rs231775 (HR, 0.67; 95% CI, 0.54–0.82; P = 9.3 × 10−5) after adjustment for age, study site, population stratification, stage, grade, and oral contraceptive use. The rs231775 allele associated with improved survival in our study also results in an amino acid change in CTLA4 and previously has been reported to be associated with autoimmune conditions. Thus, we found evidence that SNPs in genes related to Tregs seem to play a role in ovarian cancer survival, particularly in patients with clear cell and endometrioid epithelial ovarian cancer. Cancer Immunol Res; 2(4); 332–40. ©2014 AACR.

Objective. Based on its expression profile, folate receptor alpha (FRA) is an attractive candidate for targeted diagnostics and therapeutics. However, applicability of these agents in residual or recurrent disease could be influenced by chemotherapy. We evaluated whether chemotherapy modified FRA expression in non-mucinous epithelial ovarian (EOC) and endometrial carcinoma (EC). Methods. FRA staining was evaluated by immunohistochemistry, using MAb 26B3, in 81 patients (41 EOCs and 40 ECs) and 17 control tissues (5 benign ovarian cysts, 5 normal ovarian, and 7 normal endometrial tissues). Chemotherapy effect was evaluated in 42 patients (30 paired samples at primary and interval debulking surgery and 12 from primary and recurrent disease). FRA expression was assessed using a semi-quantitative staining algorithm, the M-score (range 0-50). Results. Median difference in M-score between tumor and control samples was 27.5 for EOC (95% CI 10.0 to 45.0) and 6.7 for EC (95% CI 6.7 to 21.7). Paired samples from both primary and interval debulking surgery did not differ in ERA expression in EOC (median difference of M-score between paired samples of 0.0 [95% CI - 2.6 to 2.6]). Recurrent EOC tumors reflected ERA status at diagnosis (median difference of M-score between paired samples of 33 [95% CI - 7.0 to 13.6]). Conclusions. This study shows no significant difference in FRA expression after chemotherapy, strengthening the rationale for FRA targeted diagnostics and therapeutics in FRA expressing tumors, whether newly diagnosed or at recurrence. (C) 2013 Elsevier Inc. All rights reserved

Nonepithelial ovarian cancers (OCs), including sex cord-stromal tumors (SCSTs) and germ cell tumors (GCTs), are an uncommon subset of OC, together accounting for 10% of all OCs. The etiology of these tumors remains largely unresolved. It is well established that tumorigenesis is the result of multiple genetic alterations driving a normal cell toward a malignant state. Much effort has been made into researching the molecular mechanisms underlying epithelial OC, but far less is known about the genetic changes in SCSTs and GCTs. Recently, a single point missense mutation (C134W) was found in the FOXL2 gene in approximately 95% of adult-type granulosa cell tumors, suggesting a key role for FOXL2 in these tumors. By contrast, the FOXL2 mutation was not found in the juvenile type. DICER1 somatic missense mutations were found in approximately 60% of Sertoli-Leydig tumors. Ovarian GCTs share many morphological features and a similar pattern of chromosomal alterations with testicular GCTs. In the latter, recent genome-wide association studies have identified seven susceptibility loci near KITLG, SPRY4, UKC2, BAK1, DMRT1, TERT and ATF7IP. All of the susceptibility loci detected thus far are all involved in primordial germ cell function or sex determination. TGF-beta/BMP and Wnt/beta-catenin signaling was absent in dysgerminomas, but present in yolk sac tumors, suggesting intertumoral heterogeneity. In this article, the authors aim to provide an overview of the current knowledge on the possible molecular changes in SCSTs and GCTs of the ovary

Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.