Treatment of gynecological malignancies: long-term follow-up of health-related quality of life and healthcare costs.

Aim: To assess long-term health-related quality of life (HRQoL) and treatment-related costs in gynecological cancer patients, and to compare HRQoL between cancer types and to age-standardized general female population. Materials & methods: A prospective 8-10-year follow-up of 218 patients treated in Helsinki University Hospital in 2002-2004. Results: The most common malignancies were uterine, ovarian and cervical cancers. The mean HRQoL scores were 0.880 (baseline), 0.885 (6 months) and 0.884 for survivors in the end of the study. Depression, vitality and sexual activity were impaired at baseline but improved during follow-up. Total secondary healthcare costs during the follow-up averaged EUR 41342. Conclusion: The long-term HRQoL of surviving gynecological cancer patients was good and similar to that of age-standardized general female population.

Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Prediction of Site-Specific Tumor Relapses in Patients With Stage I-II Endometrioid Endometrial Cancer.

OBJECTIVE: The aim of this study was to investigate the association of predictors of an advanced disease and/or poor outcome with the occurrence of tumor relapses in different anatomical sites in patients with stage I-II endometrioid endometrial cancer. METHODS: A total of 929 patients were included in the study. The median follow-up time was 57 months (range, 1-108 months). The studied variables were: poor tumor differentiation, myometrial invasion 50% or greater, tumor size 3 cm or greater, lymphovascular space invasion, cervical stromal invasion, positive peritoneal cytology, old age (>77 years), obesity (body mass index ≥30 kg/m), and diabetes. RESULTS: A relapse was diagnosed in 98 patients (10.5%) (vaginal in 15, pelvic in 27, intra-abdominal beyond the pelvis in 27, extra-abdominal in 29). None of the variables were associated with an altered risk of vaginal or pelvic relapses in univariate analyses. Poor differentiation, myometrial invasion 50% or greater, tumor size 3 cm or greater, and positive peritoneal cytology were associated with an increased risk of intra-abdominal relapses beyond the pelvis (odds ratios [ORs] between 2.2 and 9.6). With the exception of obesity and diabetes, all variables were associated with an increased risk of extra-abdominal relapses (ORs between 2.3 and 13). Tumor size 3 cm or greater (OR, 3.1) and positive peritoneal cytology (OR, 16) predicted intra-abdominal relapses beyond the pelvis in multivariate analysis, whereas poor differentiation (OR, 2.9), myometrial invasion 50% or greater (OR, 4.0), and positive peritoneal cytology (OR, 27) predicted extra-abdominal relapses. Compared with vaginal relapses, intra-abdominal relapses beyond the pelvis and extra-abdominal relapses were associated with a worse disease-specific survival. Survival of patients with a pelvic relapse did not differ from that of patients with a vaginal relapse. CONCLUSIONS: Risk variables of endometrial cancer are differently associated with relapses in different locations. Our findings may promote studies that explore the most efficient adjuvant therapy in high-risk early-stage endometrioid endometrial cancer.

Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxel in ovarian granulosa cell tumor cells.

OBJECTIVE: Resistance to standard chemotherapy poses a major clinical problem in the treatment of ovarian cancer patients. Adult-type granulosa cell tumor (AGCT) is a unique ovarian cancer subtype for which efficient treatment options are lacking in advanced disease. To this end, systematic drug response and transcriptomics profiling were performed to uncover new therapy options for AGCTs. METHODS: The responses of three primary and four recurrent AGCTs to 230 anticancer compounds were screened in vitro using a systematic drug sensitivity and resistance testing (DSRT) platform, coupled with mRNA sequencing. The responses of the AGCTs were compared with those of human granulosa luteal cells and bone marrow mononuclear cells. RESULTS: Patient-derived AGCT cells showed selective sensitivity to the Src family tyrosine kinase inhibitor dasatinib. A combination of either dasatinib or an mTOR-inhibitor everolimus with paclitaxel resulted in synergistic inhibition of AGCT cell viability. The key kinase targets of dasatinib and members of the mTOR pathway were constantly expressed at mRNA and protein levels, indicating multikinase signal addictions in the AGCT cells. Transcriptomic characterization of the tumors revealed no known oncogenic mutations, suggesting that the drug sensitivity of AGCTs was rather conveyed by selective target expression. CONCLUSIONS: We used a systematic functional approach to reveal novel treatment options for a unique gynecological cancer. The selective synergy found between taxanes and dasatinib or mTOR inhibitors warrants further clinical investigations of these combinations in relapsed or aggressive AGCTs and demonstrate that high-throughput drug screening and molecular profiling can provide an effective approach to uncover new therapy options.

Prediction of lymphatic dissemination in endometrioid endometrial cancer: Comparison of three risk-stratification models in a single-institution cohort.

OBJECTIVES: To compare the performance characteristics of 3 risk-stratification models, referred to as Mayo, Helsinki and Milwaukee models, in predicting lymphatic dissemination in endometrial cancer. METHODS: A total of 1052 patients with stage I-III endometrioid endometrial cancer were included in the study. The areas under curve were compared with the receiver operating characteristic curve area comparison test. Chi-square and Fisher exact test were used for comparing categorical variables. The Kaplan-Meier method and multivariable Cox regression models were used for survival analyses. The median follow-up time was 55months (range 1-108). RESULTS: Areas under curve were 0.781, 0.830 and 0.829 for the Mayo, Helsinki (P=0.285 vs. Mayo) and Milwaukee (P=0.292 vs. Mayo) models, respectively, in predicting lymphatic dissemination. The rates of false negatives and false positives were similar for all models. The lymphadenectomy rate decreased in the order of Mayo model (71.5%)>Helsinki model (62.4%)>Milwaukee model (48.8%). In patients with stage I cancer, disease specific survival was better for those who satisfied low-risk criteria according to any of the models. In patients with stage II-III cancer, this difference in survival was significant only for the Milwaukee model. Both lymphatic dissemination and high-risk tumor features as per the risk models were independent predictors of survival. CONCLUSIONS: The studied models had a similar accuracy in predicting lymphatic dissemination in endometrial cancer. Lymphadenectomy rate was lowest for the Milwaukee model. Survival analyses suggest that variables included in the models predict patient outcome independently of tumor stage.

Inherited variants affecting RNA editing may contribute to ovarian cancer susceptibility: results from a large-scale collaboration.

RNA editing in mammals is a form of post-transcriptional modification in which adenosine is converted to inosine by the adenosine deaminases acting on RNA (ADAR) family of enzymes. Based on evidence of altered ADAR expression in epithelial ovarian cancers (EOC), we hypothesized that single nucleotide polymorphisms (SNPs) in ADAR genes modify EOC susceptibility, potentially by altering ovarian tissue gene expression. Using directly genotyped and imputed data from 10,891 invasive EOC cases and 21,693 controls, we evaluated the associations of 5,303 SNPs in ADAD1, ADAR, ADAR2, ADAR3, and SND1. Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI), with adjustment for European ancestry. We conducted gene-level analyses using the Admixture Maximum Likelihood (AML) test and the Sequence-Kernel Association test for common and rare variants (SKAT-CR). Association analysis revealed top risk-associated SNP rs77027562 (OR (95% CI)= 1.39 (1.17-1.64), P=1.0x10-4) in ADAR3 and rs185455523 in SND1 (OR (95% CI)= 0.68 (0.56-0.83), P=2.0x10-4). When restricting to serous histology (n=6,500), the magnitude of association strengthened for rs185455523 (OR=0.60, P=1.0x10-4). Gene-level analyses revealed that variation in ADAR was associated (P<0.05) with EOC susceptibility, with PAML=0.022 and PSKAT-CR=0.020. Expression quantitative trait locus analysis in EOC tissue revealed significant associations (P<0.05) with ADAR expression for several SNPs in ADAR, including rs1127313 (G/A), a SNP in the 3' untranslated region. In summary, germline variation involving RNA editing genes may influence EOC susceptibility, warranting further investigation of inherited and acquired alterations affecting RNA editing.

Characteristics and outcome of recurrence in molecularly defined adult-type ovarian granulosa cell tumors.

OBJECTIVE: Adult-type ovarian granulosa cell tumors (AGCTs) have an unpredictable tendency to relapse. In a carefully validated patient cohort, we evaluated the prognostic factors related to AGCT recurrence. METHODS: We identified all patients diagnosed with AGCT during 1956-2014 in Helsinki University Hospital, with a minimum follow-up of one year (n=240). After a histological review supplemented with FOXL2 (402C-G) mutation status analysis, we analyzed the clinical data for association with relapse. RESULTS: The final cohort included 164 (68%) molecularly defined AGCTs (MD-AGCTs). The majority of the women were postmenopausal (63%), and 92% of tumors were stage I. The median follow-up time was 15.5years. Fifty-two (32%) patients developed tumor recurrence, of whom 55% had successive recurrences. Multiple-site recurrences were common, and nearly half of the recurrences were asymptomatic. The median time to the first relapse was 7.4years, and 75% of relapses occurred within ten years after primary diagnosis. The median disease-free survival was 11.3years. Premenopausal status at initial diagnosis, FIGO stage Ic versus Ia, and tumor rupture associated with relapse. However, tumor rupture was the only independent predictive factor. Of the relapsed patients, 48% died of AGCT in a median time of 15.3years. CONCLUSION: Tumor rupture is the strongest predictive factor for recurrence, and these patients might benefit from a more aggressive initial treatment approach. AGCT requires active follow up for 10 to 15years after primary diagnosis, since recurrences may develop late, asymptomatically and in multiple anatomical locations.

Association of vitamin D levels and risk of ovarian cancer: a Mendelian randomization study.

BACKGROUND: In vitro and observational epidemiological studies suggest that vitamin D may play a role in cancer prevention. However, the relationship between vitamin D and ovarian cancer is uncertain, with observational studies generating conflicting findings. A potential limitation of observational studies is inadequate control of confounding. To overcome this problem, we used Mendelian randomization (MR) to evaluate the association between single nucleotide polymorphisms (SNPs) associated with circulating 25-hydroxyvitamin D [25(OH)D] concentration and risk of ovarian cancer. METHODS: We employed SNPs with well-established associations with 25(OH)D concentration as instrumental variables for MR: rs7944926 (DHCR7), rs12794714 (CYP2R1) and rs2282679 (GC). We included 31 719 women of European ancestry (10 065 cases, 21 654 controls) from the Ovarian Cancer Association Consortium, who were genotyped using customized Illumina Infinium iSelect (iCOGS) arrays. A two-sample (summary data) MR approach was used and analyses were performed separately for all ovarian cancer (10 065 cases) and for high-grade serous ovarian cancer (4121 cases). RESULTS: The odds ratio for epithelial ovarian cancer risk (10 065 cases) estimated by combining the individual SNP associations using inverse variance weighting was 1.27 (95% confidence interval: 1.06 to 1.51) per 20 nmol/L decrease in 25(OH)D concentration. The estimated odds ratio for high-grade serous epithelial ovarian cancer (4121 cases) was 1.54 (1.19, 2.01). CONCLUSIONS: Genetically lowered 25-hydroxyvitamin D concentrations were associated with higher ovarian cancer susceptibility in Europeans. These findings suggest that increasing plasma vitamin D levels may reduce risk of ovarian cancer.

Adult body mass index and risk of ovarian cancer by subtype: a Mendelian randomization study.

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.

Assessing the genetic architecture of epithelial ovarian cancer histological subtypes.

Epithelial ovarian cancer (EOC) is one of the deadliest common cancers. The five most common types of disease are high-grade and low-grade serous, endometrioid, mucinous and clear cell carcinoma. Each of these subtypes present distinct molecular pathogeneses and sensitivities to treatments. Recent studies show that certain genetic variants confer susceptibility to all subtypes while other variants are subtype-specific. Here, we perform an extensive analysis of the genetic architecture of EOC subtypes. To this end, we used data of 10,014 invasive EOC patients and 21,233 controls from the Ovarian Cancer Association Consortium genotyped in the iCOGS array (211,155 SNPs). We estimate the array heritability (attributable to variants tagged on arrays) of each subtype and their genetic correlations. We also look for genetic overlaps with factors such as obesity, smoking behaviors, diabetes, age at menarche and height. We estimated the array heritabilities of high-grade serous disease ([Formula: see text] = 8.8 ± 1.1 %), endometrioid ([Formula: see text] = 3.2 ± 1.6 %), clear cell ([Formula: see text] = 6.7 ± 3.3 %) and all EOC ([Formula: see text] = 5.6 ± 0.6 %). Known associated loci contributed approximately 40 % of the total array heritability for each subtype. The contribution of each chromosome to the total heritability was not proportional to chromosome size. Through bivariate and cross-trait LD score regression, we found evidence of shared genetic backgrounds between the three high-grade subtypes: serous, endometrioid and undifferentiated. Finally, we found significant genetic correlations of all EOC with diabetes and obesity using a polygenic prediction approach.

Incidence of and risk factors for surgical site infections in women undergoing hysterectomy for endometrial carcinoma.

INTRODUCTION: The purpose of this study was to determine the incidence of, and risk factors for, surgical site infections in a contemporary cohort of women with endometrial carcinoma. MATERIAL AND METHODS: We retrospectively studied 1164 women treated for endometrial carcinoma by hysterectomy at a single institution in 2007-2013. In all, 912 women (78.4%) had minimally invasive hysterectomy. Data on surgical site infections were collected from medical records. Univariate and multivariate analyses were used to identify risk factors for incisional and organ/space infections. RESULTS: Ninety-four women (8.1%) were diagnosed with a surgical site infection. Twenty women (1.7%) had an incisional infection and 74 (6.4%) had an organ/space infection. The associations of 17 clinico-pathologic and surgical variables were tested by univariate analyses. Those variables that were identified as potential risk factors in univariate analyses (p < 0.15) were used in logistic regression models with incisional and organ/space infections as dependent variables. Obesity (body mass index ≥ 30 kg/m(2)), diabetes, and long operative time (>80th centile) were independently associated with a higher risk of incisional infection, whereas minimally invasive surgery was associated with a smaller risk. Smoking, conversion to laparotomy, and lymphadenectomy were associated with a higher risk of organ/space infection. CONCLUSIONS: Organ/space infections comprised the majority of surgical site infections. Risk factors for incisional and organ/space infections differed. Minimally invasive hysterectomy was associated with a smaller risk of incisional infections but not of organ/space infections.

Shared genetics underlying epidemiological association between endometriosis and ovarian cancer.

Epidemiological studies have demonstrated associations between endometriosis and certain histotypes of ovarian cancer, including clear cell, low-grade serous and endometrioid carcinomas. We aimed to determine whether the observed associations might be due to shared genetic aetiology. To address this, we used two endometriosis datasets genotyped on common arrays with full-genome coverage (3194 cases and 7060 controls) and a large ovarian cancer dataset genotyped on the customized Illumina Infinium iSelect (iCOGS) arrays (10 065 cases and 21 663 controls). Previous work has suggested that a large number of genetic variants contribute to endometriosis and ovarian cancer (all histotypes combined) susceptibility. Here, using the iCOGS data, we confirmed polygenic architecture for most histotypes of ovarian cancer. This led us to evaluate if the polygenic effects are shared across diseases. We found evidence for shared genetic risks between endometriosis and all histotypes of ovarian cancer, except for the intestinal mucinous type. Clear cell carcinoma showed the strongest genetic correlation with endometriosis (0.51, 95% CI = 0.18-0.84). Endometrioid and low-grade serous carcinomas had similar correlation coefficients (0.48, 95% CI = 0.07-0.89 and 0.40, 95% CI = 0.05-0.75, respectively). High-grade serous carcinoma, which often arises from the fallopian tubes, showed a weaker genetic correlation with endometriosis (0.25, 95% CI = 0.11-0.39), despite the absence of a known epidemiological association. These results suggest that the epidemiological association between endometriosis and ovarian adenocarcinoma may be attributable to shared genetic susceptibility loci.

The clinical utility of serum anti-Müllerian hormone in the follow-up of ovarian adult-type granulosa cell tumors--A comparative study with inhibin B.

Ovarian adult-type granulosa cell tumors (AGCTs) require prolonged follow-up, but evidence regarding the optimal follow-up marker is lacking. The objective of our study was to validate the clinical usefulness of serum anti-Müllerian hormone (AMH) and the current marker inhibin B as single and combined markers of AGCTs. We conducted a longitudinal, partially prospective cohort study of 123 premenopausal and postmenopausal AGCT patients with a median follow-up time of 10.5 years (range 0.3-50.0 years). Serum AMH and inhibin B levels were measured from 560 pretreatment and follow-up serum samples by using immunoenzymometric assays. We found that serum AMH and inhibin B levels were significantly elevated in patients with primary or recurrent AGCTs. The levels of both markers positively correlated to tumor size (p < 0.05). AMH and inhibin B performed similarly in receiving operator characteristic analyses; area under the curve (AUC) values were 0.92 [95% confidence interval (CI) 0.88-0.95] for AMH, and 0.94 (95% CI 0.90-0.96) for inhibin B. AMH was highly sensitive (92%) and specific (81%) in detecting a macroscopic AGCT. However, in AUC comparison analyses, the combination of the markers was superior to inhibin B alone. In conclusion, serum AMH is a sensitive and specific marker of AGCT, and either AMH or inhibin B can be monitored during follow-up. However, combining AMH and inhibin B in AGCT patient follow-up improves the detection of recurrent disease.

Risk-stratification of endometrial carcinomas revisited: a combined preoperative and intraoperative scoring system for a reliable prediction of an advanced disease.

OBJECTIVE: The aim of this study is to develop a risk-scoring system for predicting lymph node and distant metastasis in endometrial carcinoma. METHODS: A total of 1166 patients, treated at a single institution between 1-2007 and 12-2013, were included in the study. The association of stage IIIC-IV disease with demographic factors (age, body mass index), biochemical factors (complete blood count, serum CA125), preoperative histology and tumor size was examined in unadjusted analyses. Logistic regression analysis was used for the identification of variables that independently predict an advanced disease. RESULTS: Thrombocytosis, serum CA125>35 U/mL, preoperative high-risk histology (nonendometrioid or grade 3 endometrioid carcinoma) and tumor size≥3 cm were independently associated with an advanced disease. These predictors were internally validated by a bootstrapping method with statistical significance. A risk-scoring system with an area under the receiver operating characteristic curve of 0.852 (95% confidence interval, 0.821-0.883) was developed. Total risk score points ranged from 0 to 8 for individual patients. With a cut-off of 1 point, stratifying 66.3% of patients to surgical staging, the model predicted stage IIIC-IV carcinomas with a sensitivity of 100%, specificity of 38.0%, positive predictive value of 17.1%, and negative predictive value of 100%. With the same cut-off, the corresponding values were 100%, 34.7%, 16.5% and 100% in predicting stage IIIC carcinomas in a subgroup that underwent lymphadenectomy and had a stage I-IIIC disease. CONCLUSIONS: This risk-scoring system is highly sensitive in predicting an advanced stage endometrial carcinoma at a cut-off of risk score points that is associated with an acceptable lymphadenectomy rate.

Combined use of endometrial sample and magnetic resonance imaging in the preoperative risk-stratification of endometrial carcinomas.

OBJECTIVE: To compare two treatment strategies in women undergoing surgery for endometrial carcinoma. DESIGN: Retrospective cohort study. SETTING: Tertiary care center. POPULATION: 1166 patients. Uterine biopsy/curettage was obtained in 1140 women, of whom 229 also had pelvic magnetic resonance imaging (MRI). METHODS: We compared two strategies: (i) routine pelvic lymphadenectomy and (ii) selective pelvic lymphadenectomy for women with high-risk carcinomas as determined from preoperative histology and MRI. High-risk carcinomas included grade 1-2 endometrioid carcinomas with ≥50% myometrial invasion, grade 3 endometrioid carcinomas, and nonendometrioid carcinomas. Others were considered low-risk carcinomas. MAIN OUTCOME MEASURES: Diagnostic indices, treatment algorithms. RESULTS: Of the women who underwent lymphadenectomy, positive pelvic nodes were found in 2.3% of low-risk carcinomas and 18.3% of high-risk carcinomas. The combination of preoperative histology and MRI detected high-risk carcinomas with a sensitivity of 85.7%, a specificity of 75.0%, a positive predictive value of 74.4%, and a negative predictive value of 86.1%. Area under curve was 0.804. In the routine lymphadenectomy algorithm, 54.1% of lymphadenectomies were performed for low-risk carcinomas. In the selective lymphadenectomy algorithm, 14.3% of women with high-risk carcinomas did not receive lymphadenectomy. Missed positive pelvic nodes were estimated to occur in 2.1% of patients in the selective strategy. Similarly, the estimated risk for isolated para-aortic metastasis was 2.1%, regardless of treatment strategy. CONCLUSIONS: The combination of preoperative histology and MRI is moderately sensitive and specific in detecting high-risk endometrial carcinomas. The clinical utility of the method is hampered by the relatively high proportion of high-risk cases that remain unrecognized preoperatively.

Clinical characteristics and survival of patients with an adult-type ovarian granulosa cell tumor: a 56-year single-center experience.

OBJECTIVE: The objective of this study was to evaluate clinical prognostic factors and survival of patients with ovarian granulosa cell tumors (GCTs) in a long-term follow-up study. METHODS: A total of 240 adult-type GCTs diagnosed in Helsinki University Central Hospital from 1956 to 2012 were histologically reevaluated. Data were analyzed for several clinical factors in relation to major developments in imaging, surgery, and chemotherapy: the old era (1956-1983) and the new era (1984-2012). Prognostic factors for survival were evaluated in the univariate and multivariate analyses. RESULTS: The original diagnosis was confirmed in 187 (77.9%) patients. The International Federation of Gynecology and Obstetrics stage I disease was present in 89.2%; stage II, in 7.0%; stage III, in 3.8%; and stage IV, in 0% of cases. The mean age at diagnosis (52.9 years) and the mean tumor size (10.8 cm) did not change significantly over time. The most common presenting symptom was abnormal bleeding, but 14% were asymptomatic. The mean follow-up period was 15.7 years. Recurrence rate was similar in both eras. The GCT-specific 5-, 10-, and 20-year survival rates were 95.6%, 88.1%, and 79.8% in the old era as well as 97.2%, 94.8%, and 94.8% in the new era, respectively. In the univariate analyses, old era, patient age older than 60 years, tumor size greater than 10 cm, advanced stage, residual tumor, and use of hormonal adjuvant treatment were associated with GCT-related deaths. Prior use of oral contraceptives and history of infertility improved survival rates. In the multivariate analysis, stage was the only independent prognostic factor for GCT-specific survival. CONCLUSIONS: An accurate histological diagnosis of GCT is essential. Stage IV disease is an extreme rarity. However, tumor stage overcomes other possible clinical prognostic factors for GCT-specific survival. Fertility-sparing surgery, the use of oral contraceptives, or hormonal replacement therapy seems not to be risk factors for survival.

Evaluating the ovarian cancer gonadotropin hypothesis: a candidate gene study.

OBJECTIVE: Ovarian cancer is a hormone-related disease with a strong genetic basis. However, none of its high-penetrance susceptibility genes and GWAS-identified variants to date are known to be involved in hormonal pathways. Given the hypothesized etiologic role of gonadotropins, an assessment of how variability in genes involved in the gonadotropin signaling pathway impacts disease risk is warranted. METHODS: Genetic data from 41 ovarian cancer study sites were pooled and unconditional logistic regression was used to evaluate whether any of the 2185 SNPs from 11 gonadotropin signaling pathway genes was associated with ovarian cancer risk. A burden test using the admixture likelihood (AML) method was also used to evaluate gene-level associations. RESULTS: We did not find any genome-wide significant associations between individual SNPs and ovarian cancer risk. However, there was some suggestion of gene-level associations for four gonadotropin signaling pathway genes: INHBB (p=0.045, mucinous), LHCGR (p=0.046, high-grade serous), GNRH (p=0.041, high-grade serous), and FSHB (p=0.036, overall invasive). There was also suggestive evidence for INHA (p=0.060, overall invasive). CONCLUSIONS: Ovarian cancer studies have limited sample numbers, thus fewer genome-wide susceptibility alleles, with only modest associations, have been identified relative to breast and prostate cancers. We have evaluated the majority of ovarian cancer studies with biological samples, to our knowledge, leaving no opportunity for replication. Using both our understanding of biology and powerful gene-level tests, we have identified four putative ovarian cancer loci near INHBB, LHCGR, GNRH, and FSHB that warrant a second look if larger sample sizes and denser genotype chips become available.

Magnetic resonance imaging in the assessment of high-risk features of endometrial carcinoma: a meta-analysis.

OBJECTIVE: The aim of this study was to review the available literature on the reliability of contemporary magnetic resonance imaging (MRI) techniques in the assessment of high-risk features of endometrial carcinoma, that is, deep myometrial invasion, cervical stromal involvement, and lymph node metastasis. METHODS: The PubMed and Scopus databases were searched for studies published before March 2014. Studies on plain MRI were excluded. RESULTS: Fifty-two eligible studies were identified. For the assessment of deep (≥ 50%) myometrial invasion (50 studies, 3720 patients), the pooled sensitivity, specificity, positive predictive value, and negative predictive value were 80.7%, 88.5%, 77.6%, and 89.5%, respectively, by random-effects analysis. For predicting cervical stromal involvement (12 studies, 1153 patients), the pooled values were 57.0%, 94.8%, 68.7%, and 90.5%, respectively. For lymph node metastasis on a per-patient basis (10 studies, 862 patients), they were 43.5%, 95.9%, 66.3%, and 92.2%, respectively. In a meta-regression analysis, dynamic imaging was associated with a higher sensitivity in detecting deep myometrial invasion, as compared with contrast-enhanced imaging (P = 0.021). The improvement by diffusion-weighted imaging was of a borderline significance (P = 0.057). Significant small-study effects were found for the sensitivity of MRI in detecting deep myometrial invasion (P < 0.0001) and cervical stromal involvement (P = 0.049). CONCLUSIONS: Considering the poor-to-moderate sensitivity of MRI in detecting high-risk features of endometrial carcinoma, patients with negative findings on MRI may not safely forgo surgical staging unless the findings are confirmed by a backup method. The high specificities allow the targeting of staging procedures by MRI alone in patients with positive findings. Compared with contrast-enhanced imaging, dynamic and diffusion-weighted imaging may be more reliable in the radiological staging of endometrial carcinoma.

Exome sequencing identifies FANCM as a susceptibility gene for triple-negative breast cancer.

Inherited predisposition to breast cancer is known to be caused by loss-of-function mutations in BRCA1, BRCA2, PALB2, CHEK2, and other genes involved in DNA repair. However, most families severely affected by breast cancer do not harbor mutations in any of these genes. In Finland, founder mutations have been observed in each of these genes, suggesting that the Finnish population may be an excellent resource for the identification of other such genes. To this end, we carried out exome sequencing of constitutional genomic DNA from 24 breast cancer patients from 11 Finnish breast cancer families. From all rare damaging variants, 22 variants in 21 DNA repair genes were genotyped in 3,166 breast cancer patients, 569 ovarian cancer patients, and 2,090 controls, all from the Helsinki or Tampere regions of Finland. In Fanconi anemia complementation gene M (FANCM), nonsense mutation c.5101C>T (p.Q1701X) was significantly more frequent among breast cancer patients than among controls [odds ratio (OR) = 1.86, 95% CI = 1.26-2.75; P = 0.0018], with particular enrichment among patients with triple-negative breast cancer (TNBC; OR = 3.56, 95% CI = 1.81-6.98, P = 0.0002). In the Helsinki and Tampere regions, respectively, carrier frequencies of FANCM p.Q1701X were 2.9% and 4.0% of breast cancer patients, 5.6% and 6.6% of TNBC patients, 2.2% of ovarian cancer patients (from Helsinki), and 1.4% and 2.5% of controls. These findings identify FANCM as a breast cancer susceptibility gene, mutations in which confer a particularly strong predisposition for TNBC.

HER2 and GATA4 are new prognostic factors for early-stage ovarian granulosa cell tumor-a long-term follow-up study.

Granulosa cell tumors (GCTs) carry a risk of recurrence also at an early stage, but reliable prognostic factors are lacking. We assessed clinicopathological prognostic factors and the prognostic roles of the human epidermal growth factor receptors (HER 2-4) and the transcription factor GATA4 in GCTs. We conducted a long-term follow-up study of 80 GCT patients with a mean follow-up time of 16.8 years. A tumor-tissue microarray was immunohistochemically stained for HER2-4 and GATA4. Expression of HER2-4 mRNA was studied by means of real time polymerase chain reaction and HER2 gene amplification was analyzed by means of silver in situ hybridization. The results were correlated to clinical data on recurrences and survival. We found that GCTs have an indolent prognosis, with 5-year disease-specific survival (DSS) being 97.5%. Tumor recurrence was detected in 24% of the patients at a median of 7.0 years (range 2.6-18 years) after diagnosis. Tumor stage was not prognostic of disease-free survival (DFS). Of the molecular prognostic factors, high-level expression of HER2, and GATA4, and high nuclear atypia were prognostic of shorter DFS. In multivariate analyses, high-level coexpression of HER2 and GATA4 independently predicted DFS (hazard ratio [HR] 8.75, 95% CI 2.20-39.48, P = 0.002). High-level expression of GATA4 also predicted shorter DSS (HR 3.96, 95% CI 1.45-12.57, P = 0.006). In multivariate analyses, however, tumor stage (II-III) and nuclear atypia were independent prognostic factors of DSS. In conclusion HER2 and GATA4 are new molecular prognostic markers of GCT recurrence, which could be utilized to optimize the management and follow-up of patients with early-stage GCTs.