Screening Test For Ovarian Cancer Research Articles

Association of a polygenic risk score with risk of abnormal ultrasound findings and ovarian cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

10542 Background: Several susceptibility loci have been identified in genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) that are associated with ovarian cancers. Polygenic risk scores (PRS) combining certain loci have shown limited performance at predicting ovarian cancer risk. However, the utilization of PRS with ovarian cancer screening tests, like transvaginal ultrasound (TVU), warrants further evaluation. This study investigated the association between a polygenic risk score and ovarian cancer risk and abnormal TVU screening in a large-scale randomized controlled ovarian cancer screening trial. Methods: A polygenic risk score was constructed using weighted sums of risk alleles of 15 ovarian cancer SNPs identified in previous GWAS to evaluate the association with abnormal TVU screening results and ovarian cancer outcomes in female participants of the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Complete genotyping information, TVU results, and ovarian cancer outcomes were available for 15722 females (mean age 62.2 years +/- 5.3) with European ancestry, including 116 ovarian cancer cases. Abnormal TVU was defined as ovarian volume or cyst volume > 10 cm3, any solid/cystic component within a cystic ovarian tumor, or any solid area or papillary projection extending into the cavity of a cystic ovarian tumor. Polygenic risk scores were categorized as quartiles and odds ratios (OR) were calculated to assess risk of ovarian cancer or abnormal TVU result using the lowest PRS quartile as reference category. Results: TVU screening results were abnormal for 732 (732/15722, 4.66%) participants and normal for 14990 (14990/15722, 95.3%) participants at trial baseline. PRS within the fourth quartile demonstrated increased risk of ovarian cancer with reference to the lowest quartile (OR 1.77, 95% confidence interval: 1.04-3.08). Similarly, women in the highest quartile of the PRS had increased odds of an abnormal TVU screening result (OR 1.46, 95% confidence interval: 1.17-1.83) compared to women in the lowest PRS quartile. Conclusions: A polygenic risk score including 15 loci previously shown to be associated with ovarian cancer risk showed an association with increased ovarian cancer risk in the PLCO trial. Furthermore, the PRS was also associated with abnormal ultrasound results. Our findings support further evaluation of polygenic risk scores and transvaginal ultrasound for ovarian cancer risk stratification and screening approaches.

Association of enrollment in Medicare Advantage plans versus fee-for-service in patients with a late-stage diagnosis of gynecologic cancer.

11140 Background: In the United States, uterine cancer is the most common gynecologic (GYN) cancer; and ovarian cancer causes more deaths each year than any other GYN cancer. There are currently no recommended population-wide screening tests for ovarian or uterine cancer, which are heavily concentrated in older women. Medicare is the primary health insurer for 97% of Americans aged 65 years and older. This study is the first to examine the association between Medicare enrollment plan – Medicare Advantage (MA) versus fee-for-service (FFS) – and stage at diagnosis among older women newly diagnosed with ovarian or uterine cancer. Methods: Using the linked Surveillance, Epidemiology, and End Results (SEER) registries and Medicare enrollment data, we identified 101,193 women aged 65 years and older with newly diagnosed ovarian or uterine cancer between 2007-2019. We categorized patients into two groups: 1) those continuously enrolled in Medicare MA for six months prior to their diagnosis, through the diagnosis month, and the month following diagnosis; 2) those continuously enrolled in Medicare FFS within the same eight-month window. Late-stage was defined as “Distant” stage (with “Local” and “Regional” stages representing an earlier-stage diagnosis) using the SEER Summary Stage variable. The association between Medicare enrollment plan and stage was examined through multivariable logistic regression modeling that adjusted for sociodemographic characteristics. The influence of each predictor on the difference in the probability of late stage was summarized as an adjusted marginal effect (ME). Results: Among uterine cancer patients, 37% had MA insurance. Compared with Medicare FFS enrollees, the adjusted percentage of late-stage diagnosis was 0.6 percentage points (ppt) lower for MA enrollees (95% CI = -1.1-(-0.1); P<0.05). Notably, patients were more likely to have a late-stage uterine diagnosis if they were: non-Hispanic Black or Hispanic (vs. non-Hispanic White); age 75 and older (vs. between 65 -74); and residing in a lower SES neighborhood. Among ovarian cancer patients, 34% had MA insurance. We found no significant difference between Medicare MA and FFS enrollees in ovarian cancer stage at diagnosis. Of note, Non-Hispanic Black patients were significantly more likely to be diagnosed with late-stage disease compared to Non-Hispanic White, and likewise for patients aged 75 and older (vs. between 65-74). Conclusions: Among Medicare beneficiaries (age 65+) diagnosed with uterine cancer, those enrolled in an MA plan were significantly less likely to be diagnosed at a later stage. In similar analyses for ovarian cancer, there was no such MA - FFS difference in the probability of late-stage. As enrollment in Medicare Advantage plans continues to grow, it becomes increasingly important to identify whether there are significant outcome differences between MA and FFS plans.

Sensitivity and Specificity of Selected Biomarkers and Their Combinations in the Diagnosis of Ovarian Cancer.

One of the greatest challenges in modern gynecological oncology is ovarian cancer. Despite the numerous studies currently being conducted, it is still sometimes detected at late clinical stages, where the prognosis is unfavorable. One significant contributing factor is the absence of sensitive and specific parameters that could aid in early diagnosis. An ideal screening test, in view of the low incidence of ovarian cancer, should have a sensitivity of greater than 75% and a specificity of at least 99.6%. To enhance sensitivity and specificity, diagnostic panels are being created by combining individual markers. The drive to develop better screening tests for ovarian cancer focuses on modern diagnostic methods based on molecular testing, which in turn aims to find increasingly effective biomarkers. Currently, researchers' efforts are focused on the search for a complementary parameter to those most commonly used that would satisfactorily enhance the sensitivity and specificity of assays. Several biomarkers, including microRNA molecules, autoantibodies, cDNA, adipocytokines, and galectins, are currently being investigated by researchers. This article reviews recent studies comparing the sensitivity and specificity of selected parameters used alone and in combination to increase detection of ovarian cancer at an early stage.

Differences in Serum miRNA Profiles by Race, Ethnicity, and Socioeconomic Status: Implications for Developing an Equitable Ovarian Cancer Screening Test.

This study aimed to understand factors affecting miRNA expression, to ensure we create equitable screening tests for ovarian cancer that perform well in diverse populations. The goal is to ensure that we are detecting ovarian cancer cases earlier (secondary prevention) in women of all races, ethnic backgrounds, and socioeconomic means.

Association between sulfur microbial diet and the risk of colorectal cancer precursors in older adults.

Sulfur microbial diet (SMD), related to the enrichment of sulfur-metabolizing gut bacteria, has been confirmed to be linked to an elevated risk of early-onset colorectal adenoma in young females. However, it remains unclear whether SMD is associated with the risk of colorectal adenoma in older people, who are at greater risk for colorectal cancer. All data on participants in this study were retrieved from the intervention arm of the Prostate, Lung, Colorectal, and Ovarian (PLCO) cancer screening test. Participants' adherence to this dietary pattern was assessed using SMD score. Hazard ratios (HR) and 95% confidence intervals (CI) were adopted in Cox proportional hazards regression models to assess the link between SMD score and the incidence of colorectal adenoma in participants included in the study. Specific stratified analyses were constructed to assess whether this association changed in different conditions, whereas the robustness of the association was examined through sensitivity analyses. The mean baseline age of participants was 62.1 (SD 5.2) years (range 54.0-75.0 years). During 19,468,589 person-years of follow-up, 992 colorectal adenoma cases were documented in a total of 17,627 included participants. In a fully adjusted model, an increased risk of colorectal adenoma was determined in participants in the highest quartile of SMD score in comparison with those in the lowest quartile (HRquartile4 vs. HRquartile1 = 1.23; 95% CI: 1.02, 1.47; p = 0.017 for trend). This positive association between SMD score and adenoma risk was more evident in participants who were current or former smokers (p = 0.029 for interaction). In this study, our results support a role for the SMD in the carcinogenicity of colorectal cancer precursors among older adults. Nevertheless, these results require validation through more research.

Advantages and Limitations of Ultrasound as a Screening Test for Ovarian Cancer.

Ovarian cancer (OC) is the seventh most common malignancy diagnosed among women, the eighth leading cause of cancer mortality globally, and the most common cause of death among all gynecological cancers. Even though recent advances in technology have allowed for more accurate radiological and laboratory diagnostic tests, approximately 60% of OC cases are diagnosed at an advanced stage. Given the high mortality rate of advanced stages of OC, early diagnosis remains the main prognostic factor. Our aim is to focus on the sonographic challenges in ovarian cancer screening and to highlight the importance of sonographic evaluation, the crucial role of the operator΄s experience, possible limitations in visibility, emphasizing the importance and the necessity of quality assurance protocols that health workers have to follow and finally increasing the positive predictive value. We also analyzed how ultrasound can be combined with biomarkers (ex. CA-125) so as to increase the sensitivity of early-stage OC detection or, in addition to the gold standard examination, the CT (Computed tomography) scan in OC follow-up. Improvements in the performance and consistency of ultrasound screening could reduce the need for repeated examinations and, mainly, ensure diagnostic accuracy. Finally, we refer to new very promising techniques such as liquid biopsies. Future attempts in order to improve screening should focus on the identification of features that are unique to OC and that are present in early-stage tumors.

Clinical and molecular evaluation of patients with ovarian cancer in the context of drug resistance to chemotherapy.

The present study aimed to evaluate changes in the expression patterns at the gene and protein levels associated with drug resistance. The study group included 48 women who had a histopathologically confirmed diagnosis of stage I-IV ovarian cancer, they were divided into two subgroups (groups A and B). In group A, there were 36 patients in whom surgical treatment was supplemented with first-line chemotherapy according to current standards. Within this patient group, 5 had stage I (14%), 5 had stage II (14%), 25 had stage III (69%), and 1 had stage IV ovarian cancer (3%). Drug resistance was found after the third cycle of chemotherapy in 17 patients (71%) and after the sixth cycle in 7 patients (29%). Group B included 12 women with type I ovarian cancer, including 11 with stage I and 1 patient with stage IV ovarian cancer. The oncological treatment required only surgery. The control group (C) included 50 women in whom the uterus and adnexa were surgically removed for non-oncological reasons. Significantly higher levels of carcinoma antigen 125 CA-125 and human epididymis protein 4 HE4 were observed in group A and in menopausal women. Moreover, drug resistance was associated with significantly higher levels of CA-125 (p < 0.05). The genes UBA2, GLO1, STATH, and TUFT1 were differentiated in test samples from control samples. Moreover, drug resistance was associated with significantly higher expression of GLO1. The results of these assessments indicated the strong link between UBA2 and hsa-miR-133a-3p and hsa-miR-133b; GLO1 and hsa-miR-561-5p; STATH and hsa-miR-137-3p and hsa-miR-580-3p; and TUFT1 and hsa-miR-1233-3p and hsa-miR-2052. Correlation analysis showed a significant correlation between CA-125 and HE4 levels. Moreover, a significant correlation between TUFT1 mRNA and UBA2, GLO1, STATH (negative correlation), and TUFT1 in relation to CA-125 and HE4 (p < 0.05) was noted in all patients. In view of the lack of screening tests for ovarian cancer, the occurrence of the described correlation may be inscribed as an attempt to establish an assay that meets the criteria of a screening test and thus increase the early diagnosis of ovarian cancer.

Current and Emerging Methods for Ovarian Cancer Screening and Diagnostics: A Comprehensive Review.

Simple SummaryOvarian high-grade serous carcinoma (HGSC) has a 5-year survival rate of less than 50%, making it one of the most lethal gynecological cancers for women in the developed world today. Delayed presentation of clinical symptoms and late-stage diagnosis drive the high mortality rate of this disease. Early detection is associated with significant improvements in survival, however, screening in the general population is currently not recommended at this time due to a notable lack of sensitive and specific biomarkers for early-stage disease. In this review, we provide an overview of the current landscape of ovarian cancer diagnostics, emphasizing emerging methodologies for the non-invasive detection of HGSC.With a 5-year survival rate of less than 50%, ovarian high-grade serous carcinoma (HGSC) is one of the most highly aggressive gynecological malignancies affecting women today. The high mortality rate of HGSC is largely attributable to delays in diagnosis, as most patients remain undiagnosed until the late stages of -disease. There are currently no recommended screening tests for ovarian cancer and there thus remains an urgent need for new diagnostic methods, particularly those that can detect the disease at early stages when clinical intervention remains effective. While diagnostics for ovarian cancer share many of the same technical hurdles as for other cancer types, the low prevalence of the disease in the general population, coupled with a notable lack of sensitive and specific biomarkers, have made the development of a clinically useful screening strategy particularly challenging. Here, we present a detailed review of the overall landscape of ovarian cancer diagnostics, with emphasis on emerging methods that employ novel protein, genetic, epigenetic and imaging-based biomarkers and/or advanced diagnostic technologies for the noninvasive detection of HGSC, particularly in women at high risk due to germline mutations such as BRCA1/2. Lastly, we discuss the translational potential of these approaches for achieving a clinically implementable solution for screening and diagnostics of early-stage ovarian cancer as a means of ultimately improving patient outcomes in both the general and high-risk populations.

A Translational Model to Improve Early Detection of Epithelial Ovarian Cancers.

Neural network analyses of circulating miRNAs have shown potential as non-invasive screening tests for ovarian cancer. A clinically useful test would detect occult disease when complete cytoreduction is most feasible. Here we used murine xenografts to sensitize a neural network model to detect low volume disease and applied the model to sera from 75 early-stage ovarian cancer cases age-matched to 200 benign adnexal masses or healthy controls. The 14-miRNA model efficiently discriminated tumor bearing animals from controls with 100% sensitivity down to tumor inoculums of 50,000 cells. Among early-stage patient samples, the model performed well with 73% sensitivity at 91% specificity. Applied to a population with 1% disease prevalence, we hypothesize the model would detect most early-stage ovarian cancers while maintaining a negative predictive value of 99.97% (95% CI 99.95%-99.98%). Overall, this supports the concept that miRNAs may be useful as screening markers for early-stage disease.

Raman spectroscopic study of benign and malignant ovarian tissues

Ovarian cancer is one of the most common female tumors all over the world, and its mortality rate ranks first among gynecological malignancies. A progressive assessment, diagnosis and remedy are significant for the proper management of the disease process. In this paper, a prompt, non-invasive and highly effective screening test for ovarian cancer was developed based on the Raman spectroscopy (RS) data of fresh ovarian tissues. Raman spectral measurements were performed on fresh ovarian tissue samples from 17 ovarian cancer patients and 14 benign ovarian tumors. We preliminarily identified the Raman peaks in the measured ovarian tissue spectra and summarized their respective characteristic peaks, indicating that specific biomolecules changed among different groups, and their differences were analyzed. The conclusions suggested that the position of the characteristic peaks of Raman spectrum of the ovarian cancer tissues and benign ovarian tissues were different. The relative intensity of ovarian cancer tissue was higher than that of benign ovarian tissue at the 1004, 1155, 1446 cm−1 with phenylalanine, protein and lipids as characteristic peaks, and the difference were significant (P < 0.05). This exploratory work demonstrates that RS may be used as a detection method for screening benign and malignant ovarian tumors.

SCREENING POLICIES FOR OVARIAN CANCER IN NIGERIAN HOSPITALS: A REVIEW

Ovarian Cancer is a problem battled worldwide and is typically diagnosed at an advanced stage due to the lack of effective screening strategies. An effective screening method should detect the disease at an earlier stage at diagnosis such that treatment would result in better outcome and not the inevitable mortality. Diagnosis of Ovarian cancer at an early stage (stage 1) could be a benefit of good screening strategies because it is associated with a high 5- year survival rate (95%) as it appears that globally, there is no early detection for this yet. In this article, we review the epidemiology, risk factors as well as the current state of screening tests for ovarian cancer in Nigeria.

A novel proteomic-based screening method for ovarian cancer using cervicovaginal fluids: A window into the abdomen

ObjectiveOur objective is to develop a site-specific proteomic-based screening test for ovarian cancer(OC) using the mucus of the cervix and vagina and evaluate a potential means for home testing. MethodsCervicovaginal fluid samples were obtained from ovarian cancer and normal control patients for LC-mass spectrometry(MS) proteomic evaluation. Statistical modeling determined the protein panel with the highest penetrance across ovarian cancer samples. A subcohort of patients consented to provide self-collected vaginal samples at home with questionnaire on feasibility. Cohen's kappa methodology was utilized to determine agreement between physician-collected and patient-collected samples. ResultsA total of 83 consecutive patient samples were collected prospectively (33 ovarian cancer & 50 controls). Thirty patients consented for self-collection. Using LC-MS, 30 peptides demonstrated independent statistical significance for detecting ovarian cancer. Using statistical modeling, the protein panel that determined the best predictor for detecting OC formed a “fingerprint” consisting of 5 proteins: serine proteinase inhibitor A1; periplakin; profilin1; apolipoprotein A1; and thymosin beta4-like protein. These peptides demonstrated a significant increase probability of detecting ovarian cancer with the ROC curve having an AUC of 0.86 (p = 0.00001). Physician-collected and patient-collected specimens demonstrated moderate agreement with kappa average of 0.6 with upper bound of 0.75. ConclusionsUsing novel site-specific collection methods, we identified an OC “fingerprint” with adequate sensitivity and specificity to warrant further evaluation in a larger cohort. Agreement of physician-collected and patient-collected samples were encouraging and could improve access to screening with a home self-collection if this screening test is validated in future studies.

Advances in epithelial ovarian cancer

Most epithelial ovarian cancer occurs inolder women, with a mean age at diagnosis of 62 years and an overall five‑year survival rate in Australia of 43%.Most women are diagnosed with advanced disease of high-grade serous type with 20-30% five-year survival; 70%relapse within three years of initial treatment. There is no available screening test for ovarian cancer. The aim of this article is to highlight current management and future directions for women diagnosed with epithelial ovarian cancer, particularly the high incidence of underlying genetic mutations and new options for treatment. Risk-reducing surgery with bilateral salpingo-oophorectomy is recommended for women at high risk of developing ovarian cancer. Ovarian cancer treatment still centres on surgery and chemotherapy, with aggressive cytoreductive techniques and intraperitoneal treatments being evaluated in advanced disease. Molecular targeting agents are revolutionising treatment options, particularly the poly adenosine diphosphate-ribose polymerase inhibitors, and especially for patients with an underlying BRCA mutation. Other molecular targeting agents, such as vascular endothelial growth factor (VEGF) receptor inhibitors and newer approaches using immunotherapy and molecular targeting, aim to individualise treatment and improve survival in the future.

Diagnostic Accuracy of Risk of Malignancy Indices in Ovarian Tumor

Screening test for ovarian cancer has not been developed yet but several tools exist to predict it. The aim is to find out the relative accuracy of commonly practiced versions of Risk of Malignancy Indices to predict ovarian malignancy pre-operatively. Intention to treat cross sectional study at Paropakar Maternity and Women's Hospital in Kathmandu during last six months of year 2018. Cases with ovarian mass were taken pre-operatively with serum tumor markers, ultrasound and tumor Doppler study report. Pregnancy and diagnosed malignancy were excluded. Histopathology report traced post-operatively. All five versions of Risk of Malignancy Indices were analyzed by their predictive efficiency and different cut-off value of CA-125. 116 cases of ovarian tumor from 14 to 76 years (mean=35.2±11.7) were studied. There were 8.6% (n=10) malignant pathology; and isolated high vascular flow and solid component may predict malignancy (p=0.000). Up to 12 multiples of normal CA-125 value could not demonstrate clear predictive value for malignancy (p=0.061). By sensitivity, specificity, diagnostic accuracy and predictive values were similar for Risk of Malignancy Indices-1 and RMI-5 as well as Risk of Malignancy Indices-2 and Risk of Malignancy Indices-3. Cut-off of 250 is efficient by >90% and best at 300. Sensitivity of all Risk of Malignancy Indices versions were similar at cut-off level of 200, 250 and 300. Isolated value of CA-125 and size of tumor are not useful. All Risk of Malignancy Indices versions are reasonably good. Risk of Malignancy Indices value of 250 or more is the best predictive cut-off. Risk of Malignancy Indices-1 and Risk of Malignancy Indices-5 as well as Risk of Malignancy Indices-2 and Risk of Malignancy Indices-3 have similar predictive accuracy. Doppler study is not mandatory.

Methylated DNA markers for plasma detection of ovarian cancer: Discovery, validation, and clinical feasibility.

6072 Background: Effective screening tests for ovarian cancer (OC) are lacking; most cases present at advanced stage and portend poor prognosis. DNA methylation is an early event in carcinogenesis and can be detected in blood plasma samples from cancer patients. In DNA extracted from tissues, we first discovered, then validated discriminant methylated DNA marker (MDM) candidates for OC and subsequently tested independent plasma from women with and without OC. Methods: For discovery, DNA from 67 frozen tissues (18 high grade serous (HGS), 18 endometrioid, 15 clear cell (CC), 6 mucinous OCs; 10 benign fallopian tube epithelium (FT); and 19 buffy coats from cancer-free women underwent reduced representation bisulfite sequencing (RRBS) to identify MDMs associated with OC. Candidate MDM selection was based on receiver operating characteristic (ROC) discrimination, methylation fold change, and low background methylation among controls. Blinded biological validation was performed using methylated specific PCR on DNA extracted from independent FFPE tissues from OCs (36 HGS, 22 endometrioid, 21 CC, and 14 mucinous) and 29 FT. Top performing MDMs in tissue were tested using long-probe quantitative amplified signal assays in independent pre-treatment plasma samples from women newly-diagnosed with OC and population-sampled healthy women. A random forest modeling analysis was performed to generate predictive probability of disease; results were 500-fold in silico cross-validated. Results: After RRBS discovery and biological validation, 33 MDMs showed marked methylation fold changes (10 to &gt; 1000) across all OC histologies vs FT. The top 11 MDMs ( GPRIN1, CDO1, SRC, SIM2, AGRN, FAIM2, CELF2, DSCR6, GYPC, CAPN2, BCAT1) were tested on plasma from 91 women with OC (76 (84%) HGS) and 91 without OC; the cross-validated 11-MDM panel highly discriminated OC from controls (96% (95%CI 89-99%) specificity; 79% (69-87%) sensitivity, and AUC 0.91 (0.86 - 0.96)). Among HGS, the panel correctly identified 83%, including 5/6 stage I/II, and the majority of other subtypes (Table). Conclusions: Whole methylome sequencing, stringent filtering criteria, and biological validation yielded outstanding candidate MDMs for OC that performed with promisingly high sensitivity and specificity in plasma. Larger plasma-based OC MDM testing studies, with larger numbers of non-HGS histologies are warranted. [Table: see text]

Psychological Response to a False Positive Ovarian Cancer Screening Test Result: Distinct Distress Trajectories and Their Associated Characteristics.

Routine screening for ovarian cancer (OC) can yield an abnormal result later deemed benign. Such false positive (FP) results have been shown to trigger distress, which generally resolves over time. However, women might differ in the trajectory of the distress experience. Women participating in a routine OC screening program (n = 373) who received an abnormal screening result completed a baseline assessment prior to a follow-up screening test to clarify the nature of their abnormal result. All women were subsequently informed that no malignancy was present, and follow-up assessments were completed one and four months post-baseline. Demographic, clinical, dispositional (optimism, monitoring), and social environmental (social constraint, social support) variables were assessed at baseline. OC-specific distress was assessed at all three assessments. Trajectory analyses identified three distress trajectories differing in the baseline level of distress. A high decreasing trajectory, representing about 25% of women, was characterized by high levels of distress at baseline with distress declining over time, but still elevated at four-month follow-up. In contrast, a no distress trajectory group, representing about 30% of women, was characterized by essentially no distress at any time point. Principal risk factors for membership in the high decreasing trajectory group included a family history of OC, lower dispositional optimism, and greater social constraint. These risk factors could be used to target resources efficiently towards managing women at risk for potentially clinically-significant distress after receipt of an FP OC screening test.

Ovarian Cancer: An Integrated Review.

To provide an overview of the risk factors, modifiable and non-modifiable, for ovarian cancer as well as prevention, diagnostic, treatment, and long-term survivorship concerns. This article will also examine current and future clinical trials surrounding ovarian cancer. A review of articles dated 2006-2018 from CINAHL, UpToDate, and National Comprehensive Cancer Network guidelines. There is no screening test for ovarian cancer and with diagnosis often in the late stages, recurrence is high in this population. Early identification can range from knowing the vague symptoms associated with the cancer to prophylactic surgical removal of at-risk tissue. Standard treatment for ovarian cancer is surgery followed by combination chemotherapy. Although advances are being made, ovarian cancer remains the most fatal female gynecologic cancer. Becoming familiar with and educating women about risk factors and the elusive symptoms of ovarian cancer can increase patient autonomy and advocacy, as well as potentially improve patient outcomes for those affected by ovarian cancer.

A novel site-specific proteomic screening test for ovarian cancer in a large prospective multi-institutional clinical study

A novel site-specific proteomic screening test for ovarian cancer in a large prospective multi-institutional clinical study

Cost-effectiveness of risk-reducing salpingo-oophorectomy in cases of BRCA1 gene mutation in Colombia

To assess the usefulness of risk reduction salpingo-oophorectomy in cases with mutation of the BRCA1 gene in Colombia. Cost-effectiveness analysis in which three processes are incorporated: a. Patients with screening tests for breast and ovarian cancer. b. Risk reduction surgery in the fallopian tubes and ovaries c. Reductive surgery in the fallopian tubes and ovaries with bilateral mastectomy. The outcome is evaluated as the gain in years of survival. The cohort with risk reduction surgery in the fallopian tubes and ovaries and bilateral mastectomy is the one with the highest gain with 13 years, while the risk reduction surgery in the fallopian tubes and ovaries gain 4.95 years with respect to the follow-up group. The three options evaluated are acceptable, but of them the one with the greatest gain in survival is the combination of risk-reducing surgery in the fallopian tubes and ovaries with bilateral mastectomy.

Demographic, clinical, dispositional, and social-environmental characteristics associated with psychological response to a false positive ovarian cancer screening test: a longitudinal study.

Cancer screening can facilitate early detection that improves survival, but also can identify an abnormal finding that is not malignant and deemed benign. While such false positive (FP) results can impact a variety of psychological outcomes, little is known about demographic, clinical, dispositional, and social-environmental characteristics associated with psychological outcomes after a FP result. Women participating in an ovarian cancer (OC) screening program and experiencing a FP screening test result (n=375) completed assessments at baseline and 4-months. Results indicated greater social constraint and less education were linked to greater OC-specific distress at both assessments. Short-term predictors included less optimism and no previous abnormal test, while longer-term predictors were fewer previous screens and the interaction between OC family history and monitoring coping style. Younger age, less education, less optimism, greater social constraint, and family history of OC were associated with greater perceptions of OC risk. Brief interventions prior to screening may minimize the negative impact of a false positive result and not interfere with compliant participation in screening programs.