Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.
- MeSH
- Bayesova věta MeSH
- epiteliální ovariální karcinom genetika MeSH
- genetická predispozice k nemoci MeSH
- jednonukleotidový polymorfismus MeSH
- lidé MeSH
- nádory prsu * MeSH
- nádory vaječníků * epidemiologie genetika MeSH
- prospektivní studie MeSH
- rizikové faktory MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
OBJECTIVE: Laparoscopy is one of the diagnostic tools available for the complex clinical decision-making process in advanced ovarian, fallopian tube, and peritoneal carcinoma. This article presents the results of a survey conducted within the European Network of Gynaecological Oncology Trial (ENGOT) group aimed at reviewing the current patterns of practice at gynecologic oncology centers with regard to the evaluation of resection in advanced ovarian, fallopian tube, and peritoneal carcinoma. METHODS: A 24-item questionnaire was sent to the chair of the 20 cooperative groups that are currently part of the ENGOT group, and forwarded to the members within each group. RESULTS: A total of 142 questionnaires were returned. Only 39 respondents (27.5%) reported using some form of clinical (not operative) score for the evaluation of resection. The frequency of use of diagnostic laparoscopy to assess disease status and feasibility of resection was as follows: never, 21 centers (15%); only in select cases, 83 centers (58.5%); and routinely, 36 centers (25.4%). When laparoscopy was performed, 64% of users declared they made the decision to proceed with maximal effort cytoreductive surgery based on their personal/staff opinion, and 36% based on a laparoscopic score. To the question of whether laparoscopy should be considered the gold standard in the evaluation of resection, 71 respondents (50%) answered no, 66 respondents (46.5%) answered yes, whereas 5 respondents (3.5%) did not provide an answer. CONCLUSIONS: This study found that laparoscopy was routinely performed to assess feasibility of cytoreduction in only 25.4% of centers in Europe. However, it was commonly used to select patients and in a minority of centers it was never used . When laparoscopy was adopted, the treatment strategy was based on laparoscopic scores only in a minority of centers.
- MeSH
- chirurgická onkologie statistika a číselné údaje MeSH
- cytoredukční chirurgie * MeSH
- gynekologie statistika a číselné údaje MeSH
- laparoskopie statistika a číselné údaje MeSH
- lidé MeSH
- nádory vaječníků diagnóza chirurgie MeSH
- nádory vejcovodů diagnóza chirurgie MeSH
- peritoneální nádory diagnóza chirurgie MeSH
- průzkumy a dotazníky MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH