BACKGROUND: Residual disease following cytoreductive surgery in patients with ovarian cancer has been associated with poorer survival outcomes compared with no residual disease. We performed a meta-analysis to assess the impact of varying levels of residual disease status on survival outcomes in patients with ovarian cancer who have undergone primary cytoreductive surgery or interval cytoreductive surgery in the setting of new therapies for this disease. METHODS: Medline, Embase, and Cochrane databases (January 2011 - July 2020) and grey literature, bibliographic and key conference proceedings, were searched for eligible studies. Fixed and random-effects meta-analyses compared progression and survival by residual disease level across studies. Heterogeneity between comparisons was explored via type of surgery, disease stage, and type of adjuvant chemotherapy. RESULTS: Of 2832 database and 16 supplementary search articles screened, 50 studies were selected; most were observational studies. The meta-analysis showed that median progression-free survival and overall survival decreased progressively with increasing residual disease (residual disease categories of 0 cm, > 0-1 cm and > 1 cm). Compared with no residual disease, hazard ratios (HR) for disease progression increased with increasing residual disease category (1.75 [95% confidence interval: 1.42, 2.16] for residual disease > 0-1 cm and 2.14 [1.34, 3.39] for residual disease > 1 cm), and also for reduced survival (HR versus no residual disease, 1.75 [ 1.62, 1.90] for residual disease > 0-1 cm and 2.32 [1.97, 2.72] for residual disease > 1 cm). All comparisons were significant (p < 0.05). Subgroup analyses showed an association between residual disease and disease progression/reduced survival irrespective of type of surgery, disease stage, or type of adjuvant chemotherapy. CONCLUSIONS: This meta-analysis provided an update on the impact of residual disease following primary or interval cytoreductive surgery, and demonstrated that residual disease was still highly predictive of progression-free survival and overall survival in adults with ovarian cancer despite changes in ovarian cancer therapy over the last decade. Higher numerical categories of residual disease were associated with reduced survival than lower categories.

OBJECTIVES: This analysis aimed to better define the relationship between progression-free survival and overall survival in adult patients with ovarian cancer (including fallopian tube or primary peritoneal cancer) following primary cytoreductive surgery or interval cytoreductive surgery. METHODS: A systematic literature review was carried out across the Medline, Embase, and Cochrane Central databases on 7 July 2020 (date limits 1 January 2011 to 7 July 2020) to identify studies with the following eligibility criteria: clinical trials/observational studies including >200 patients with ovarian cancer aged ≥18 years, evaluating overall survival/progression-free survival following cytoreductive surgery by residual disease status in the United States, Europe, Japan, or China. Weighted linear regression models were used to assess any correlation between median progression-free survival and overall survival, and between logHR for progression-free survival and logHR for overall survival. Risk of bias was assessed for all included studies. RESULTS: Of the 50 studies reported, 43 were observational studies (41 retrospective and two prospective cohort studies), and seven were reporting for randomized clinical trials-of which four were retrospective data analyses. For analyses of the relationship between overall survival and progression-free survival, 21 studies were eligible. The weighted linear regression model showed a strong positive association between the two survival endpoints. Goodness-of-fit analysis measured the adjusted R2 as 0.84 (p<0.001); a positive association was also observed between logHRs for overall survival and progression-free survival in the included studies. CONCLUSIONS: Median progression-free survival was predictive of median overall survival. This correlation between progression-free survival and overall survival after primary treatment for ovarian cancer highlights the validity of progression-free survival as a primary endpoint. Observational studies contributed most data, with limited information on disease stage and histology.

Drug discovery in the ovarian cancer arena continues to launch important new clinical trials. Many biologic agents are being studied in phase II and phase III clinical trials for recurrent disease. These agents include compounds that disrupt angiogenesis through a variety of mechanisms. Other oncogenic pathways are also specifically targeted such as PARP, MEK, and topoisomerase inhibitors which are currently being studied in phase III trials. Various cytotoxic agents, as well as therapeutic vaccines, are also under investigation, and continue to demonstrate promising new data. The relevant agents in the treatment of ovarian cancer which have demonstrated positive phase II activity will be discussed.

Introduction

We evaluated real-world outcomes in patients with advanced ovarian cancer (AOC) based on their cumulative risk profile and maintenance therapy (MT) status following first-line (1L) treatment.

Methods

This retrospective observational study of a nationwide electronic health record-derived de-identified database included adult patients diagnosed with stage III/IV OC from January 1, 2011 to February 28, 2021, who received 1L therapy and had ≥ 12 weeks of follow-up after the index date (end of 1L therapy). Patients were grouped according to whether they received MT or active surveillance (AS) following 1L treatment and by the cumulative number of risk factors (RF) present (stage IV disease; no surgery/treated with neoadjuvant therapy and interval debulking surgery; had postoperative visible residual disease; and had BRCA wild-type disease/unknown BRCA status). Time to next treatment (TTNT) and overall survival (OS) were assessed with a cloning and inverse probability of censoring (IPC)-weighted Kaplan-Meier method.

Results

Among 1920 patients, 22.2% received MT and 77.8% received AS. Median IPC-weighted TTNT and OS were 13.3 months (95% CI 11.7-15.8) and 39.1 months (95% CI 32.5-48.6) in the MT cohort, respectively, and 8.6 months (95% CI 8.0-9.5) and 38.4 months (95% CI 36.4-41.0) in the AS cohort, respectively. Almost all patients had ≥ 1 RF (MT 95.3%; AS 96.7%). Median IPC-weighted TTNT was shorter among patients with more RF in both cohorts (MT: 1 RF, 19.3 months, 95% CI 13.5-37.8; 2 RF, 17.2 months, 95% CI 12.8-20.2; 3 RF, 11.0 months, 95% CI 8.2-13.8; 4 RF, 7.0 months, 95% CI 6.2-8.8; AS: 1 RF, 17.7 months, 95% CI 13.5-22.3; 2 RF, 10.2 months, 95% CI 9.1-11.5; 3 RF, 6.5 months, 95% CI 5.8-7.4; 4 RF, 4.1 months, 95% CI 3.5-4.5).

Conclusion

Regardless of RF number, MT was associated with longer TTNT in real-world patients with AOC.

Supportive care is a multidimensional field, that involves caring for a patient's symptoms either during and/or after treatment. Ideally, once these supportive care needs are met, patients can enjoy an improved quality of life. Supportive care needs include all body systems, and are, therefore, difficult to manage, secondary to the fact that they require collaboration among multiple medical specialties. In this review, several components of supportive care are separated into two categories: tumor-related morbidities and treatment-related morbidities. Some of the themes discussed include nausea and vomiting, cancer pain, psychological distress, fatigue and anemia, small bowel obstruction and peripheral neuropathy. While all of these components are challenging to manage, it is perhaps the psychosocial realm that remains the most unmet need. Regardless, the oncologist must act as a facilitator who addresses these needs and, if unable to address the issue alone, knows how to steer the patient toward the appropriate provider. As these needs are met, the goal is for quality of life to improve; and with the improvement in quality of life we may expect to see improved survival outcomes.

Background

Understanding how prenatal care influences planned postpartum contraception can help guide shared decision-making. This study looks to examine the association of the quality of prenatal care with planned postpartum contraception.

Methods

This is a retrospective cohort study conducted in a single tertiary, academic urban institution in the southwest United States. The institutional review board (IRB) for human research at Valleywise Health Medical Center approved this study. Using a validated measure of prenatal care, the Kessner index, prenatal care was classified as adequate, intermediate, or inadequate. The World Health Organization (WHO) protocol for contraceptive effectiveness was used to classify contraceptives as very effective, effective, and less effective. The planned contraceptive choice was determined at the time of hospital discharge after delivery by discharge summary. Chi-squared testing and logistic regression were used to measure associations between the adequacy of prenatal care and contraceptive planning.

Results

This study included 450 deliveries, 404 (90%) patients with adequate prenatal care, and 46 (10%) patients without adequate (intermediate or inadequate) prenatal care. There was not a statistically significant difference in planning for very effective or effective methods of contraception at hospital discharge between adequate (74%) and non-adequate (61%) prenatal care groups (p = 0.06). There was no association between the adequacy of prenatal care and the effectiveness of contraceptive planning after controlling for age and parity (aOR = 1.7, 95% CI 0.89-3.22).

Conclusions

Many women chose very effective and effective methods of postpartum contraception; however, there was no statistically significant association between the quality of prenatal care and planned contraception at hospital discharge.

Introduction

The purpose of this study is to identify factors that are associated with poor quality of life (QOL) among cervical cancer survivors.

Methods

Patients identified through the California Cancer Registry were recruited to participate in a randomized counseling intervention. Patient-reported outcomes (PROs) were collected at study baseline (9-30 months post-diagnosis) and subsequent to the intervention. Multivariable linear models were used to identify independent factors associated with poor baseline QOL.

Results

Non-Hispanic (N=121) and Hispanic (N=83) women aged 22-73 completed baseline measures. Approximately 50% of participants received radiation therapy with or without chemotherapy. Compared to the US population, cervical cancer patients reported lower QOL and significantly higher levels of depression and anxiety (26% and 28% >1 SD above the general population means, respectively). Among those in the lowest quartile for QOL, 63% had depression levels >1 SD above the mean. In addition, treatment with radiation±chemotherapy (p=0.014), and self-reported comorbidities predating the cancer diagnosis (p<0.001) were associated with lower QOL. Sociodemographic characteristics explained only a small portion of variance in QOL (r(2)=0.23). Persistent gynecologic problems, low social support, depression, somatization, less adaptive coping, comorbidities, sleep problems and low education were all independently associated with low QOL in multivariate analysis (r(2)=0.74).

Conclusion

We have identified key psychological and physical health factors that contribute significantly to poor quality of life subsequent to definitive cancer treatment. The majority of these factors are amenable to supportive care interventions and should be evaluated at the time of primary treatment.

OBJECTIVE.: To identify patient characteristics which predict receipt of neoadjuvant chemotherapy (NCT) versus standard therapy (ST) in metastatic ovarian cancer. METHODS.: A retrospective matched case control study was conducted of 52 women treated with NCT compared to 104 women who received standard treatment from 1996 to 2007. The t test was used for comparison of means between the groups, and the chi(2) test was used for categorical data. Multivariable analysis was performed with logistic regression models and only two-tailed analyses with a P value <0.05 were considered statistically significant. RESULTS.: Age, employment and marital status, and insurance alone did not affect treatment allocation (P=NS). However, non-Hispanic White (NHW) patients were more as likely to receive ST (P<0.05). When insurance was stratified by ethnicity, NHW patients were twice as likely to have private insurance (OR=2.29, CI=1.16-4.53). Furthermore, medically compromised (MC) patients who were NHW were almost three times more likely to receive ST (OR=2.72, CI=1.02-5.00). In multivariate analysis, only MC and publically funded women were more likely to receive NCT (OR 3.83 CI=1.35-11.11); P=0.01). During surgery, patients receiving NCT were found to have smaller tumors and less ascites, and were more likely to be optimally debulked with lower estimated blood loss and shorter hospital stays. The median survival for ST was 55.8 months versus 26 months for NCT (P<0.001). CONCLUSIONS.: Non-clinical factors such as publically funded status and non-Hispanic White race may influence the allocation of NCT for women with metastatic ovarian cancer.