The role of polymorphisms occurring in BRCA1/2 genes in determining ovarian cancer risk.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e17551-e17551
Author(s):  
Marta Castiglia ◽  
Lorena Incorvaia ◽  
Alessandro Perez ◽  
Chiara Brando ◽  
Antonio Galvano ◽  
...  

e17551 Background: Ovarian cancer (OC) is the 10th tumor occurring in women, it accounts for 30% of all malignant tumor affecting female genital tract in Italy. There are several factors that contribute to OC development; in 15-25% of cases family history of breast and ovarian cancer represent the main risk factor. It is well known that pathogenic variants (PVs) occurring in BRCA1/2 genes strongly increase the risk of developing OC, ranging from 50% in BRCA1 PVs carriers to 30% in BRCA2 PVs carriers. Recently genetic polymorphism has been shown to increase cancer risk, consequently polymorphisms in BRCA1/2 genes could represent low penetrance susceptibility alleles and contribute to determine specific clinicopathological features in OC patients harboring BRCA1/2 PVs. Methods: From 2015 to 2021, 338 patients diagnosed with epithelial OC (not mucinous, not borderline) were subjected to BRCA1/2 analysis. After obtaining informed consent, blood samples were processed for genomic DNA isolation; DNA was used for library preparation with the BRaCa Screen kit. Sequencing was performed on the IonS5 platform; variant annotation was performed with Amplicon Suite software. We collected data of both PVs and polymorphisms in BRCA1/2 genes with the aim to evaluate whether a cluster of specific polymorphisms could impact clinicopathological features in BRCA1 PVs carriers. Results: Among the 338 screened EOC, BRCA1/2 PVs were reported in 85 patients (25%). 66% of patients harbored BRCA1 PVs and 34% in BRCA2. The most frequent BRCA1 PVs were the c.4964_4982del (5083del19), c.514delC and c.181T > G; the first and the last are known for their founder effect in Italy and Eastern Europe. Looking at BRCA1 gene, in 75% of patients we identified a polymorphisms cluster (c.2082C > T, c.2311T > C, c.2612C > T, c.3113A > G, c.3548A > G, c.4308T > C, c.4837A > G). The c.514delC and c.181T > G PVs are always associated with the cluster and two additional polymorphisms, the c.2077G > A and the c.1067A > G respectively. Conversely, the cluster seems not to be associated with the PVs 5083del19. Interestingly in BRCA1-5083del19 PV carriers median age at OC diagnosis was 50 years (range 45-69). On average, these patients developed ovarian cancer 6 years earlier than other BRCA1 PV carriers (median age at diagnosis 57 years; range 30-81). Bilateral tumors were frequent and occurred in 57% of the patients versus 33% in OC patients carrying other BRCA1 PVs. Therefore, it seems that the cluster has a “protective” effect and that its absence reduces age at diagnosis. Conclusions: Despite this study has the main limitation of a small sample size, we have reported a possible association between polymorphisms cluster and clinicopathological features in BRCA1 PVs carriers. By further investigating this aspect in a larger cohort, we might be able to prove the role of this cluster in increasing or reducing OC risk and providing clinicians more information useful for patients’ stratification.

2018 ◽  
Vol 10 (2) ◽  
pp. 337-346 ◽  
Author(s):  
Mary Kathleen Ladd ◽  
Beth N Peshkin ◽  
Leigha Senter ◽  
Shari Baldinger ◽  
Claudine Isaacs ◽  
...  

Abstract Risk-reducing mastectomy (RRM) and salpingo-oophorectomy (RRSO) are increasingly used to reduce breast and ovarian cancer risk following BRCA1/BRCA2 testing. However, little is known about how genetic counseling influences decisions about these surgeries. Although previous studies have examined intentions prior to counseling, few have examined RRM and RRSO intentions in the critical window between genetic counseling and test result disclosure. Previous research has indicated that intentions at this time point predict subsequent uptake of surgery, suggesting that much decision-making has taken place prior to result disclosure. This period may be a critical time to better understand the drivers of prophylactic surgery intentions. The aim of this study was to examine predictors of RRM and RRSO intentions. We hypothesized that variables from the Health Belief Model would predict intentions, and we also examined the role of affective factors. Participants were 187 women, age 21–75, who received genetic counseling for hereditary breast and ovarian cancer. We utilized multiple logistic regression to identify independent predictors of intentions. 49.2% and 61.3% of participants reported intentions for RRM and RRSO, respectively. Variables associated with RRM intentions include: newly diagnosed with breast cancer (OR = 3.63, 95% CI = 1.20–11.04), perceived breast cancer risk (OR = 1.46, 95% CI = 1.17–1.81), perceived pros (OR = 1.79, 95% CI = 1.38–2.32) and cons of RRM (OR = 0.81, 95% CI = 0.65–0.996), and decision conflict (OR = 0.80, 95% CI = 0.66–0.98). Variables associated with RRSO intentions include: proband status (OR = 0.28, 95% CI = 0.09–0.89), perceived pros (OR = 1.35, 95% CI = 1.11–1.63) and cons of RRSO (OR = 0.72, 95% CI = 0.59–0.89), and ambiguity aversion (OR = 0.79, 95% CI = 0.65–0.95). These data provide support for the role of genetic counseling in fostering informed decisions about risk management, and suggest that the role of uncertainty should be explored further.


PLoS Medicine ◽  
2019 ◽  
Vol 16 (8) ◽  
pp. e1002893 ◽  
Author(s):  
James Yarmolinsky ◽  
Caroline L. Relton ◽  
Artitaya Lophatananon ◽  
Kenneth Muir ◽  
Usha Menon ◽  
...  

2018 ◽  
Vol 234 (7) ◽  
pp. 12011-12018 ◽  
Author(s):  
Samira Asghari ◽  
Amir Valizadeh Dizajeykan ◽  
Majid Ahmadi ◽  
Abolfazl Barzegari ◽  
Reza Rikhtegar ◽  
...  

2019 ◽  
Author(s):  
Oana A. Zeleznik ◽  
Clary B. Clish ◽  
Peter Kraft ◽  
Julian Avila-Pancheco ◽  
A. Heather Eliassen ◽  
...  

AbstractBackgroundExperimental evidence supports a role of lipid dysregulation in ovarian cancer progression and metastasis. We estimated associations with ovarian cancer risk for circulating levels of four lipid groups measured 3-23 years before diagnosis.MethodsAnalyses were conducted among cases (N = 252) and matched controls (N = 252) from the Nurses’ Health Studies. We used logistic regression adjusting for risk factors to investigate associations of lysophosphatidylcholines (LPC), phosphatidylcholines (PC), ceramides (CER), and sphingomyelins (SM) with ovarian cancer risk overall and by histotype. A Bonferroni adjusted p-value threshold of 0.0125 (0.05/4; 4 measured lipid groups) was used to evaluate statistical significance. Odds ratios (OR; 10thto the 90thpercentile) and 95% confidence intervals of ovarian cancer risk were estimated.ResultsC16:0 SM, C18:0 SM, C16:0 CER and SM sum were significantly positively associated with ovarian cancer risk, with ORs ranging from 1.95-2.10, with stronger ORs for postmenopausal women (2.02-3.22). ORs were generally similar for serous/poorly differentiated and endometrioid/clear cell tumors, although most did not meet the Bonferroni-adjusted p-value for significance. C18:1 LPC and the ratio of LPC to PC were significantly inversely, while C18:0 SM was significantly positively, associated with risk of endometrioid/clear cell tumors.ConclusionElevated levels of circulating SMs 3-23 years before diagnosis were associated with increased risk of ovarian cancer, regardless of histotype, with stronger associations among postmenopausal women. Prospective and experimental studies are required to validate our findings and understand the role of lipid dysregulation, SMs in particular, in ovarian carcinogenesis.


2019 ◽  
Vol 112 (6) ◽  
pp. 628-636 ◽  
Author(s):  
Oana A Zeleznik ◽  
Clary B Clish ◽  
Peter Kraft ◽  
Julian Avila-Pacheco ◽  
A Heather Eliassen ◽  
...  

Abstract Background Experimental evidence supports a role of lipid dysregulation in ovarian cancer progression. We estimated associations with ovarian cancer risk for circulating levels of four lipid groups, previously hypothesized to be associated with ovarian cancer, measured 3–23 years before diagnosis. Methods Analyses were conducted among cases (N = 252) and matched controls (N = 252) from the Nurses’ Health Studies. We used logistic regression adjusting for risk factors to investigate associations of lysophosphatidylcholines (LPCs), phosphatidylcholines (PCs), ceramides (CERs), and sphingomyelins (SMs) with ovarian cancer risk overall and by histotype. A modified Bonferroni approach (0.05/4 = 0.0125, four lipid groups) and the permutation-based Westfall and Young approach were used to account for testing multiple correlated hypotheses. Odds ratios (ORs; 10th–90th percentile), and 95% confidence intervals of ovarian cancer risk were estimated. All statistical tests were two-sided. Results SM sum was statistically significantly associated with ovarian cancer risk (OR = 1.97, 95% CI = 1.16 to 3.32; P = .01/permutation-adjusted P = .20). C16:0 SM, C18:0 SM, and C16:0 CERs were suggestively associated with risk (OR = 1.95–2.10; P = .004–.01; permutation-adjusted P = .08–.21). SM sum, C16:0 SM, and C16:0 CER had stronger odds ratios among postmenopausal women (OR = 2.16–3.22). Odds ratios were similar for serous/poorly differentiated and endometrioid/clear cell tumors, although C18:1 LPC and LPC to PC ratio were suggestively inversely associated, whereas C18:0 SM was suggestively positively associated with risk of endometrioid/clear cell tumors. No individual metabolites were associated with risk when using the permutation-based approach. Conclusions Elevated levels of circulating SMs 3–23 years before diagnosis were associated with increased risk of ovarian cancer, regardless of histotype, with stronger associations among postmenopausal women. Further studies are required to validate and understand the role of lipid dysregulation in ovarian carcinogenesis.


2002 ◽  
Author(s):  
Suzanne M. Miller ◽  
Carolyn Y. Fang ◽  
Karen Hurley

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