The association between socioeconomic status and tumour stage at diagnosis of ovarian cancer: A pooled analysis of 18 case-control studies

High Financial Hardship among Patients with Advanced Ovarian Cancer

Ovarian cancer is considered the most fatal and costly gynecologic cancer. Although personalized therapies have improved ovarian cancer prognosis, they have resulted in increased financial toxicity concerns among this population. This study evaluated financial toxicity in patients with advanced ovarian cancer. Using secondary data from a study of barriers to palliative care, financial toxicity (FT) was measured through the Comprehensive Score for Financial Toxicity scale. Univariate and bivariate analyses were used to assess the relationship between selected demographic (i.e., age, race, ethnicity, education, place of birth, insurance type, yearly household income, employment status) and treatment-specific variables (i.e., years since diagnosis, surgery, chemotherapy, radiation, hormonal and targeted therapy) with clinically relevant financial toxicity. Characteristics were compared using Fisher's exact or chi squared tests. A total of 38 participants with advanced ovarian cancer were included in this study; 24% (n = 9) reported clinically significant FT. Income (p = .001), place of birth (p = .048) and employment status (p = .001) were related to FT. Study findings highlight that advanced ovarian cancer patients experience high FT, particularly those with low income, who are not able to work and were born outside the US. Further research using larger datasets and more representative samples is needed to inform intervention development and implementation.

Getting to know ovarian cancer: Focusing on the effect of LncRNAs in this cancer and the effective signaling pathways

This article undertakes a comprehensive investigation of ovarian cancer, examining the complex nature of this challenging disease. The main focus is on understanding the role of long non-coding RNAs (lncRNAs) in the context of ovarian cancer (OC), and their regulatory functions in disease progression. Through extensive research, the article identifies specific lncRNAs that play significant roles in the intricate molecular processes of OC. Furthermore, the study examines the signaling pathways involved in the development of OC, providing a detailed comprehension of the underlying molecular mechanisms. By connecting lncRNA dynamics with signaling pathways, this exploration not only advances our understanding of ovarian cancer but also reveals potential targets for therapeutic interventions. The findings open up opportunities for targeted treatments, highlighting the importance of personalized approaches in addressing this complex disease and driving progress in ovarian cancer research and treatment strategies.

Health Disparities in Ovarian Cancer: Report From the Ovarian Cancer Evidence Review Conference

Health disparity, defined by the Centers for Disease Control and Prevention (CDC) as "preventable differences in the burden of disease, injury, violence, or opportunities to achieve optimal health that are experienced by socially disadvantaged populations," is seen across multiple diseases. We conducted an evidence review of health disparities and inequities and their mitigation strategies related to ovarian cancer as part of a CDC-sponsored project to develop educational materials for clinicians on the prevention and early diagnosis of gynecologic cancers. Our review found profound disparities in outcomes such as survival, treatment, and stage at diagnosis by factors such as race and ethnicity, insurance, socioeconomic status, and geographic location. We found little direct evidence on mitigation strategies. Studies support equivalent response to equivalent treatment between groups, suggesting that adherence to National Comprehensive Cancer Network guidelines can at least partially mitigate some of the differences.

Understanding the Experience of Canadian Women Living with Ovarian Cancer through the Every Woman StudyTM

The Every Woman StudyTM: Canadian Edition is the most comprehensive study to date exploring patient-reported experiences of ovarian cancer (OC) on a national scale. An online survey conducted in Fall 2020 included individuals diagnosed with OC in Canada, reporting responses from 557 women from 11 Canadian provinces/territories. Median age at diagnosis was 54 (11−80), 61% were diagnosed between 2016−2020, 59% were stage III/IV and all subtypes of OC were represented. Overall, 23% had a family history of OC, 75% had genetic testing and 19% reported having a BRCA1/2 mutation. Most (87%) had symptoms prior to diagnosis. A timely diagnosis of OC (≤3 months from first presentation with symptoms) was predicted by age (>50) or abdominal pain/persistent bloating as the primary symptom. Predictors of an acute diagnosis (<1 month) included region, ER/urgent care doctor as first healthcare provider or stage III/IV disease. Regional differences in genetic testing, treatments and clinical trial participation were also noted. Respondents cited substantial physical, emotional, practical and financial impacts of an OC diagnosis. Our national survey has revealed differences in the pathway to diagnosis and post-diagnostic care among Canadian women with OC, with region, initial healthcare provider, specific symptoms and age playing key roles. We have identified many opportunities to improve both clinical and supportive care of OC patients across the country.

Increasing Area Deprivation Index negatively impacts ovarian cancer survival

INTRODUCTION

While individual-level measures of socioeconomic status have been well-studied in relation to ovarian cancer survival, no studies to date have examined both state and national-level Area Deprivation Indices (ADIs), which incorporate neighborhood affluence and resources.

METHODS

We abstracted clinical data from medical records for ovarian cancer cases from the Vanderbilt University Medical Center and obtained ADIs from the Neighborhood Atlas®. Associations with clinical characteristics were assessed with Spearman correlations and Kruskal-Wallis tests; associations with progression-free survival (PFS) and overall survival (OS) were assessed with Cox proportional-hazards regression.

RESULTS

Among 184 cases, state and national ADIs were highly correlated, but not related to any cancer characteristics. In multivariable adjusted regression models, both were significantly associated with OS; each decile increase in state or national ADI corresponded to a 9 % or 10 % greater risk of death, respectively.

CONCLUSIONS

Increasing area-level deprivation may negatively impact ovarian cancer survival.

Stage of ovarian cancer at diagnosis. Does presentation as an emergency make a difference?

OBJECTIVES

The purpose of this study is to evaluate whether presentation of ovarian cancer as an emergency compared to presentation via referral to diagnostic clinic has an impact on stage of disease at diagnosis. Secondary outcomes include the relationship between stage of diagnosis and age as well as socioeconomic status and type of presentation (emergency or clinic referral).

STUDY DESIGN

Data were obtained from the central database for all new diagnoses of ovarian, fallopian tube or primary peritoneal malignancy at a tertiary teaching hospital for 2016-2018 (n = 147). The electronic patient records were manually reviewed to determine the patient's presentation. Age and stage at diagnosis were from the central records. Socioeconomic status was determined by the multiple deprivation index deciles obtained from patient postcode data. Non parametric chi squared analysis was used to assess for any significant results.

RESULTS

51 % of women presented through a gynaecology two-week wait service; 27 % presented as an emergency admission; 12 % through a routine gynaecology outpatient clinic and 10 % after initial referral to a non-gynaecological two-week wait service. There was a significant (p = 0.008) association with later stage disease and emergency presentation. Increased age was also strongly linked to later stage at diagnosis (p = 0.00001). There was no association between stage at diagnosis and socioeconomic status.

CONCLUSIONS

Emergency presentations account for just over a quarter of new diagnoses and are significantly associated with later stage disease with increased morbidity and mortality. Older women were also more likely to present at an advanced stage. Socioeconomic status did not impact on staging at diagnosis.

Trends in socioeconomic inequalities in the incidence of ovarian cancer among women in Canada: 1992-2010

Ovarian cancer is the seventh most common cancer among women worldwide. We assessed the effect of socioeconomic status on ovarian cancer incidence in Canada between 1992 and 2010. We linked data from the Canadian Cancer Registry (CCR), Canadian Census of Population (CCP), and National Household Survey (NHS) to measure socioeconomic inequalities in the incidence of ovarian cancer among Canadian women over the study period. The age-standardized relative and absolute concentration index (RC and AC, respectively) were calculated to quantify income- and education-related inequalities in the incidence of ovarian cancer in Canadian women during this period. Despite a slight increase in the crude incidence of ovarian cancer in Ontario, Quebec, New Brunswick, Newfoundland and Labrador & Prince Edward Island, and Canada as a whole, the incidence of ovarian cancer in Canada has mostly remained stable, between 13 and 15 new cases per 100,000 per year between 1992 and 2010. The estimated age-standardized RC and AC values for the study period did not indicate any statistically significant relationship between income or education status, and the incidence of ovarian cancer in Canada. Future work should be directed at seeking related risk factors other than socioeconomic status that may contribute to the incidence of this disease.

Prognostic impact of socioeconomic status on long-term survival of non-localized epithelial ovarian cancer ꟷ The Extreme study

OBJECTIVE

To examine the influence of socioeconomic status (SES) on long-term survival of non-localized ovarian cancer.

METHODS

All women in Denmark with a first diagnosis of non-localized epithelial ovarian cancer 1982-2007 were identified in the Cancer Registry and/or the Pathology Registry and followed up until December 2017. The survival probability was estimated after respectively 5 and 10 years, using so-called pseudo observations, and analyzed according to education, income, and marital status defined from nationwide registries.

RESULTS

The study cohort included 6486 women, and the estimated 5- and 10-year survival probabilities were 21.4% and 12.7%, respectively. Compared to women with short education, the 5-year survival probability was 7% higher for women with medium (relative survival probability = 1.07, 95% CI: 0.97, 1.19) and long education (relative survival probability = 1.07, 95% CI: 0.93, 1.24). Compared with married women, the 5-year survival probability for divorced women/widower was slightly lower (0.85, 95% CI: 0.69, 1.04) and for unmarried women slightly higher (1.08, 95% CI: 0.94, 1.23). Finally, the probability of being alive 5 years after diagnosis was 1.09 times higher (95% CI: 0.95, 1.24) for medium-income women and 1.23 times higher (95% CI: 1.08, 1.41) for high-income women compared with low-income women. Similar patterns were observed for 10-year survival.

CONCLUSIONS

Non-localized ovarian cancer patients have a poor prognosis. Our data suggest that among Danish women with advanced ovarian cancer, higher personal income is associated with slightly higher probability of long-term survival, whereas education and marital status did not affect the probability of long-term survival.

Long non-coding RNAs in ovarian cancer: expression profile and functional spectrum

Long non-coding RNAs (lncRNAs), initially recognized as byproducts of the transcription process, have been proven to play crucial modulatory roles in preserving overall homoeostasis of cells and tissues. Furthermore, aberrant levels of these transcripts have been shown to contribute many diseases, including cancer. Among these, many aspects of ovarian cancer biology have been found to be regulated by lncRNAs, including cancer initiation, progression and dissemination. In this review, we summarize recent studies to highlight the various roles of lncRNAs in ovary in normal and pathological conditions, immune system, diagnosis, prognosis, and therapy. We address lncRNAs that have been extensively studied in ovarian cancer and their contribution to cellular dynamics.

Socioeconomic Status and Ovarian Cancer Stage at Diagnosis: A Study Nested Within UKCTOCS

Background: Tubo-ovarian cancer (OC) continues to be the most lethal of all gynaecological cancers. Over half of women are diagnosed with late stage (III/IV) disease, which has a five-year survival rate of 11%. Socioeconomic status (SES) has been shown to have an impact on outcomes of several cancer types, including OC. This study aims to investigate any potential association between SES and stage at diagnosis of OC. Methods: Women from the non-screening arm of the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) with a confirmed diagnosis of OC prior to 01 January 2015 and an English index of multiple deprivation (IMD) score were eligible for the study. The association between IMD and OC stage (FIGO) was analysed using an ordinal logistic regression model adjusted for age at diagnosis and BMI. Results: Four-hundred and fifty seven women were eligible for inclusion in the primary analysis. The odds of being diagnosed with the higher dichotomization of stage (I vs. II/III/IV; I/II vs. III/IV; I/II/III vs. IV) was 1.29 (p = 0.017; 95% CI: 1.048–1.592) per unit SD (standard deviation) increase in IMD. This translates to a 29% increase in odds of being diagnosed at the higher stage per each unit SD increase in IMD. Conclusion: Increased deprivation is consistently associated with a higher probability of being diagnosed with later stage OC.

Ovarian cancer in the world: epidemiology and risk factors

Aim: Ovarian cancer is one of the most common gynecologic cancers that has the highest mortality rate. Considering the fact that knowledge on the incidence, mortality of ovarian cancer, as well as its risk factors is necessary for planning and preventing complications, this study was conducted with the aim of examining the epidemiology and risk factors of ovarian cancer in the world.

Materials and methods: In order to access the articles, Medline, Web of Science Core Collection, and Scopus databases were searched from their start to the year 2018. Full-text, English observational studies that referred to various aspects of ovarian cancer were included in the study.

Results: In total, 125 articles that had been published during the years 1925–2018 were entered into the study. Ovarian cancer is the seventh most common cancer among women. Increased risk factors of cancer have led to an upward trend in the incidence of cancer around the world. In 2018, 4.4% of entire cancer-related mortality among women was attributed to ovarian cancer. Although the incidence of cancer is higher among high Human Development Index (HDI) countries, the trend of mortality rate tends to be reversing. Various factors affect the occurrence of ovarian cancer, from which genetic factor are among the most important ones. Pregnancy, lactation, and oral contraceptive pills play a role in reducing the risk of this disease.

Conclusion: This study provides significant evidence about ovarian cancer. Considering the heavy burden of ovarian cancer on women's health, preventive measures as well as health education and early detection in high risk groups of women are highly recommended. Although some risk factors cannot be changed, a focus on preventable risk factors may reduce the risk of ovarian cancer. More studies are needed to explore the role of unclear risk factors in ovarian cancer occurrence.

Patient and primary care delays in the diagnostic pathway of gynaecological cancers: a systematic review of influencing factors

BACKGROUND

Gynaecological cancers are the second most common female cancer type, with survival rates in the UK lower than in many comparable countries. A potentially important factor in the UK's poorer cancer outcomes is diagnostic delay; gynaecological cancers are the cancer type most likely to be affected by less timely diagnosis.

AIM

To examine current evidence for factors that contribute to patient and primary care delays in the diagnostic pathway of gynaecological cancer.

DESIGN AND SETTING

A systematic review of the available literature.

METHOD

PRISMA guidelines were followed. MEDLINE and Embase databases and the Cochrane Library were searched using three terms: primary care; gynaecological cancer; and delay. Citation lists of all identified articles were searched. Two authors independently screened the titles, abstracts, and full texts of publications. Data extraction was performed by one author and quality assured by a second reviewer in a 20% sample of selected articles. Synthesis was narrative.

RESULTS

A total of 1253 references was identified, of which 37 met the inclusion criteria. Factors associated with delayed diagnosis were categorised as either patient factors (patient demographics, symptoms or knowledge, and presentation to the GP) or primary care factors (doctor factors: patient demographics, symptoms or knowledge, and referral process); and system factors (such as limited access to investigations).

CONCLUSION

Delayed diagnosis in the patient and primary care intervals of the diagnostic journey of gynaecological cancer is complex and multifactorial. This review identifies areas of future research that could lead to interventions to enable prompter diagnosis of gynaecological cancers.

Risk Model in Women with Ovarian Cancer Without Mutations

Ovarian cancer is characterised by the greatest mortality among all tumors of the reproductive tract. This study included 246 patients which consisted of 136 women with ovarian cancer without genetic mutation and 110 women with benign ovarian cysts. We created two mathematical logic models containing positive and negative risk factors of ovarian cancer such as: age at last menstruation cycle, patient age, OC, HRT, smoking, education status, and alcohol consumption. The calculated cut-off point for the first model was 0.5117. Classification determined on the basis of that cut-off point yielded 87.19% of correctly classified cases, of which 91.38% are "case" and 81.61% - "noncase". For the second model the designated cut-off point was set at 0.5149 and the percentage of correctly classified patients was 88.12%, with 92.24% correctly rated as cancer patients and 82.56% of the cases rightly recognised as having no ovarian cancer. Logit is a simple mathematical model that can be a useful tool for identification of patients with increased risk of ovarian cancer.

Improved survival in ovarian cancer, with widening survival gaps of races and socioeconomic status: a period analysis, 1983-2012

Introduction: Ovarian cancer is the first leading cause of cancer-related deaths among gynecologic malignancies, and the 7th most common female cancer worldwide. However, previous studies on changes in the long-term survival of ovarian cancer were limited.

Methods: Our data were extracted from Surveillance, Epidemiology, and End Results (SEER) registries to assess the incidence and relative survival changes of patients with ovarian cancer during 1983-2012. Patients with ovarian cancer were stratified by age, race, and socioeconomic status (SES). Cox regression analysis and Spearman rank correlation analysis were performed by STATA 12 software.

Results: The overall incidence of ovarian cancer per 100,000 decreased from 13.7 to 12.4 to 10.8 over three decades with peak incidence occurring in the 70+ age group at 47.6, 45.7 and 40.2 in each respective decade. Median survival improved from 34 months to 46 months to 52 months over three decades, with the 5-year relative survival rate (RSR) increasing from 39.3% to 43.4% to 45.4% (p < 0.0001). However, Whites showed higher median survival (34 months) than Blacks (27 months) in the first decade, and the survival difference significantly increased to 16 months in the third decade. Additionally, the median survival difference between the low-poverty group and high poverty group increased from 4 months to 12 months in the three decades.

Discussion: This study demonstrated the decreasing incidence of ovarian cancer with an observed improvement in relative survival over three decades in a large sample. However, the survival gaps among races and SESs significantly widened over the three decades.

Effect of socioeconomic status on stage at diagnosis of lung cancer in a hospital-based multicenter retrospective clinical epidemiological study in China, 2005-2014

There is inconsistent evidence of associations between socioeconomic status (SES) and lung cancer stage in non-Chinese populations up to now. We set out to determine how SES affects stage at diagnosis at both individual and area levels, from a hospital-based multicenter 10-year (2005-2014) retrospective clinical epidemiological study of 7184 primary lung cancer patients in mainland China. Individual-level SES data were measured based on two indicators from case report forms of the study: an individual's education and occupation. Seven census indicator variables were used as surrogates for the area-level SES with principal component analysis (PCA). Multivariate analysis was undertaken using binary logistic regressions and multinomial logit model to describe the association and explore the effect across tertiles on stage after adjusting for demographic variables. There was a significant stepwise gradient of effect across different stages in the highest tertile of area-level SES, comparing with the lowest tertile of area-level SES (ORs, 0.77, 0.67, and 0.29 for stage II, III, and IV). Patients with higher education were less likely to have stage IV lung cancer, comparing with the illiterate group (ORs, 0.52, 0.63, 0.71, 0.64 for primary school, middle school, high school, college degree or above subgroup, respectively). Findings suggest that the most socioeconomically deprived areas may be associated with a higher risk of advanced-stage lung cancer, and increasing educational level may be correlated with a lower risk to be diagnosed at advanced stage in both men and women.