The influence of age and co-morbidity on treatment and prognosis of ovarian cancer: a population-based study

Comorbid conditions and survival among Black women with ovarian cancer

BACKGROUND

Black women with epithelial ovarian cancer (EOC) have worse survival and a higher burden of comorbid conditions compared with other racial groups. This study examines the association of comorbid conditions and medication use for these conditions with survival among Black women with EOC.

METHODS

In a prospective study of 592 Black women with EOC, the Charlson comorbidity index (CCI) based on self-reported data, three cardiometabolic comorbidities (type 2 diabetes, hypertension, and hyperlipidemia), and medication use for each cardiometabolic comorbidity were evaluated. Cox proportional hazards regression models were used to examine the association of comorbid conditions and related medication use with all-cause mortality while adjusting for relevant covariates overall and by histotype (high-grade serous [HGS]/carcinosarcoma vs. non-HGS/carcinosarcoma) and stage (I/II vs. III/IV).

RESULTS

A CCI of ≥2 was observed in 42% of the cohort, and 21%, 67%, and 34% of women had a history of type 2 diabetes, hypertension, and hyperlipidemia, respectively. After adjusting for prognostic factors, a CCI ≥2 (vs. 0; hazard ratio [HR], 1.33; 95% confidence interval [CI], 1.04-1.71) and type 2 diabetes (HR, 1.42; 95% CI, 1.10-1.84) were associated with an increased risk of mortality. The increased risk of mortality for type 2 diabetes was present specifically among women with HGS/carcinosarcoma (HR, 1.47; 95% CI, 1.10-1.97) and among women with stage III/IV disease (HR, 1.47; 95% CI, 1.10-1.98). The authors did not find evidence that hypertension, hyperlipidemia, or medication use for the cardiometabolic comorbidities meaningfully impacted survival.

CONCLUSION

Comorbid conditions, especially type 2 diabetes, had a significant adverse impact on survival among Black women with EOC.

Deciphering age-specific molecular features in cervical cancer and constructing an angio-immune prognostic model

Cancer incidence is increasingly seen in younger individuals. Molecular distinctions between young and elderly patients at onset are understudied. This study used public databases to explore genomic, transcriptomic, and immune-related features across age groups in cervical cancer. Additionally, it aims to create a prognostic model applicable across diverse age cohorts, enabling precise patient stratification, and personalized therapies. Gene mutations, expression data, and clinicopathological information were obtained from 317 cervical cancer patients. These patients were divided into a young group and an old group based on the median age of onset. The characteristics of differential gene mutation, gene expression, and immune cells analysis were analyzed by R software. Finally, the prognostic model was constructed by univariate Cox, least absolute shrinkage and selection operator, and multivariate Cox regression analyses of angiogenic and immune gene sets. Its validity was further confirmed using an additional 300 cervical squamous cell carcinoma and endocervical adenocarcinoma tissues. Cervical cancer patients at elderly onset age exhibit a significantly higher frequency of NOTCH1 and TP53 driver mutations compared to young patients, along with a notably higher tumor mutational burden. However, there were no significant differences between the 2 groups in terms of genomic instability and age-related mutational signatures. Differential gene expression analysis revealed that the young group significantly upregulated interferon-alpha and gamma responses and exhibited significantly higher activity in multiple metabolic pathways. Immune microenvironment analysis indicated enrichment of dendritic cells and natural killer cells in the young group, while transforming growth factor-β signature was enriched in the elderly group, indicating a higher degree of immune exclusion. A multigene prognostic model based on angiogenesis and T cell immune gene sets showed excellent prognostic performance independent of clinical factors such as age. High-risk groups identified by the model exhibit significant activation of tumor-promoting processes, such as metastasis and angiogenesis. Our study reveals distinct patterns in cancer-driving mechanisms, biological processes, and immune system status between young and elderly patients at onset with cervical cancer. These findings shed light on the age-specific underlying mechanisms of carcinogenesis. Furthermore, an independent molecular prognostic model is constructed to provide valuable references for patient stratification and the development of potential drug targets.

Impact of FRAilty screening and Geriatric assessment and INtervention in older patients with epithelial Ovarian Cancer: A multicenter randomized clinical trial protocol (FRAGINOC)

INTRODUCTION

Radical surgery combined with chemotherapy is the only potential curative treatment of patients with advanced epithelial ovarian cancer (EOC). However, 43% of older Danish patients with EOC are not referred to surgery due to frailty, age, or fear of complications. Comprehensive geriatric assessment (CGA) has demonstrated ability to reduce frailty in older patients, but there is a knowledge gap regarding its effect before or during treatment in older adults with EOC. This protocol presents a randomized controlled trial (RCT), which evaluates the effect of CGA-based interventions including individualized physical exercise therapy in older adults with EOC during neoadjuvant chemotherapy (NACT).

MATERIALS AND METHODS

This RCT will include patients aged ≥70 years with primary EOC referred to NACT. Patients will be randomized 1:1 to intervention or standard of care, along with neoadjuvant antineoplastic treatment. Stratification for performance status and center of inclusion will be performed. In the intervention arm, a geriatrician will perform CGA and corresponding geriatric interventions and patients will undergo an individualized home-based exercise program managed by a physiotherapist. All patients will be evaluated with Geriatric-8, modified Geriatric-8, clinical frailty scale, and physical tests at randomization. Predictive values (positive/negative) will be evaluated for CGA detected impairments. The primary endpoint is the proportion of patients referred to interval debulking surgery (IDS). Secondary endpoints include the proportion who complete oncological treatment, improvements in physical tests, quality of life measured by European Organization for Research and Treatment of Cancer-Quality of Life questionnaires at inclusion, after three cycles of chemotherapy, and at end of chemotherapy treatment. Furthermore, the association between results of geriatric screening tests, CGA, and physical tests with complication rate and progression free survival will be examined. The primary outcome will be analyzed with logistic regression in the intention-to-treat population. Power calculations reveal the need to enroll 216 patients.

DISCUSSION

The present study examines whether CGA-based interventions including individualized physical exercise can increase the referral rate for potential curative IDS in older patients with EOC. If successful, this will result in more patients undergoing surgery and completing chemotherapy, preventing complications, and ultimately improving quality of life and survival. The study setup may establish the basis for direct clinical implementation if proven effective.

Prediction of the survival of patients with advanced-stage ovarian cancer patients undergoing interval cytoreduction with the use of computed tomography reevaluation after neoadjuvant chemotherapy

PURPOSE

To predict ovarian cancer patients' survival by computed tomography (CT) reevaluation after neoadjuvant chemotherapy.

PATIENTS AND METHODS

In this retrospective single-center cohort study, all patients with advanced epithelial ovarian cancer underwent platinum-based chemotherapy followed by interval cytoreductive surgery. Assessment of abdominal and pelvic lesions before and after chemotherapy using CT scoring criteria. Meanwhile, the progression-free survival and overall survival times were obtained. The Kaplan-Meier method was used to estimate survival curves. Univariate analysis of continuous and categorical variables was performed for prognostic significance using the Cox proportional hazards model. Variables with p < 0.10 on univariate analysis were then included in a multivariate forward stepwise Cox regression analysis.

RESULTS

A total of 162 patients were included, with a median age of 52 years (range, 20-72 years). One hundred seven patients (66.0%) underwent suboptimal cytoreduction, and there was no statistically significant difference in patient survival between surgical procedures (log-rank p = 0.092). Six radiographic features were hazard factors for suboptimal cytoreduction. Four features in the postchemotherapy CT images were assigned as predictive criteria by the stepwise regression model (area under the curve [AUC] = 0.689). As compared with a higher AUC (0.713) in the model involving two clinical variables (age and postsurgery CA-125) and two postchemotherapy CT features, the model considering the CT score changes before and after chemotherapy had the highest diagnostic accuracy (AUC = 0.843).

CONCLUSION

CT reevaluation after neoadjuvant chemotherapy is essential for ovarian cancer, the changes of CT feature and score are potential great tools to predict patient survival.

PARP inhibitors: risk factors for toxicity and matching patients to the proper poly (ADP-ribose) polymerase inhibitor (PARPi) therapy

The past 5 years have seen several fundamental advances in ovarian cancer, with important new insights towards novel therapeutic opportunities within the DNA repair pathway. With the incorporation of poly (ADP-ribose) polymerase inhibitors (PARPi) into maintenance treatment regimens, the management of short- and long-term adverse events are key clinical priorities. Currently, three different PARPi are clinically beneficial and have been approved for primary and recurrent ovarian cancer: olaparib, niraparib, and rucaparib. The duration of treatment with PARPi in patients with ovarian cancer varies; patients can receive treatment for up to 2 or 3 years in first-line setting, or continue treatment until unacceptable toxicity or progression occurs in recurrent disease. Despite their similar mechanisms of action, these three inhibitors have specific toxicity profiles, which may lead to dose interruptions or discontinuation of treatment. This review summarizes the current indications for PARPi, including their role in recurrent and first-line maintenance treatment for advanced ovarian cancer. We also outline dose modifications leading to treatment disruption and potential changes in quality of life after prolonged treatment. Finally, we highlight the patient groups most likely to benefit from each of the three different PARPi.

Age-associated differences in the cancer molecular landscape

Cancer is an age-related disease, as incidence and mortality for most types of cancer increase with age. However, how molecular alterations in tumors differ among patients of different ages remains poorly understood. Recent studies have shed light on the age-associated molecular landscapes in cancer. Here, we summarize the main findings of these current studies, highlighting major differences in the genomic, transcriptomic, epigenetic, and immunological landscapes between cancer in younger and older patients. Importantly, some cancer driver genes are mutated more frequently in younger or older patients. We discuss the potential roles of aging-related processes in shaping these age-related differences in cancer. We further emphasize the remaining unsolved questions that could provide important insights that will have implications in personalized medicine.

A CT-based radiomics nomogram for predicting early recurrence in patients with high-grade serous ovarian cancer

PURPOSE

To develop and validate a radiomics nomogram for predicting early recurrence in high-grade serous ovarian cancer (HGSOC) patients.

MATERIALS AND METHODS

From May 2008 to December 2019, 256 eligible HGSOC patients were enrolled and divided into training (n = 179) and test cohorts (n = 77) in a 7:3 ratio. A radiomics signature (Radscore) was selected by using recursive feature elimination based on a support vector machine (SVM-RFE) and building a radiomics model for recurrence prediction. Independent clinical risk factors were generated by univariable and multivariable Cox regression analyses. A combined model was developed based on the Radscore and independent clinical risk factors and presented as a radiomics nomogram. Its performance was assessed by AUC, Kaplan-Meier survival analysis and decision curve analysis.

RESULTS

Seven radiomics features were selected. The radiomics model yielded AUCs of 0.715 (95% CI: 0.640, 0.790) and 0.717 (95% CI: 0.600, 0.834) in the training and test cohorts, respectively. The clinical model (FIGO stage and residual disease) yielded AUCs of 0.632 and 0.691 in the training and test cohorts, respectively. The combined model demonstrated AUCs of 0.749 (95% CI: 0.678, 0.821) and 0.769 (95% CI: 0.662, 0.877) in the training and test cohorts, respectively. In the combined model, PFS was significantly shorter in the high-risk group than in the low-risk group (P < 0.0001).

CONCLUSIONS

The radiomics nomogram performed well for early individualized recurrence prediction in patients with HGSOC and can also be used to differentiate high-risk patients from low-risk patients.

Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands

OBJECTIVE

Peritoneal metastases (PM) are a challenge in gynecological cancers, but its appearance has never been described in a population-based study. Therefore, we describe the incidence of PM and identify predictors that increase the probability of peritoneal spread.

METHODS

All ovarian, endometrial and cervical cancer patients diagnosed in the Netherlands between 1989 and 2015 were identified from the Netherlands Cancer Registry and stratified for PM. Crude and age-adjusted incidence over time was calculated. Independent predictors for PM were identified using uni- and multivariable analyses.

RESULTS

The 94,981 patients were diagnosed with ovarian, endometrial or cervical cancer and respectively 61%, 2% and 1% presented with PM. Predictors for PM in ovarian cancer were: age between 50 and 74 years (odds ratio [OR]=1.19; 95% confidence interval [CI]=1.08-1.32), other distant metastases (OR=1.25; 95% CI=1.10-1.41), poor differentiation grade (OR=2.00; 95% CI=1.73-2.32) and serous histology. Predictors in endometrial cancer were lymph node metastases (OR=2.32; 95% CI=1.65-3.26), other distant metastases (OR=1.38; 95% CI=1.08-1.77), high-grade tumors (OR=1.95; 95% CI=1.38-2.76) and clear cell (OR=1.49; 95% CI=1.04-2.13) or serous histology (OR=2.71; 95% CI=2.15-3.42). In cervical cancer, the risk is higher in adenocarcinoma than in squamous cell carcinoma (OR=4.92; 95% CI=3.11-7.79).

CONCLUSION

PM are frequently seen in patients with ovarian cancer. In endometrial and cervical cancer PM are rare. Histological subtype was the strongest predictive factor for PM in all 3 cancers. Better understanding of predictive factors for PM and thus the biological behavior is of paramount importance.

Efficacy and Safety of First-line Single-Agent Carboplatin vs Carboplatin Plus Paclitaxel for Vulnerable Older Adult Women With Ovarian Cancer: A GINECO/GCIG Randomized Clinical Trial

Importance

Single-agent carboplatin is often proposed instead of a conventional carboplatin-paclitaxel doublet in vulnerable older patients with ovarian cancer. Such an approach could have a detrimental effect on outcomes for these patients.

Objective

To compare the feasibility, efficacy, and safety of single-agent carboplatin every 3 weeks, weekly carboplatin-paclitaxel, or conventional every-3-weeks carboplatin-paclitaxel in vulnerable older patients with ovarian cancer.

Design, Setting, and Participants

This international, open-label, 3-arm randomized clinical trial screened 447 women 70 years and older with newly diagnosed stage III/IV ovarian cancer by determining their Geriatric Vulnerability Score; 120 patients with a Geriatric Vulnerability Score of 3 or higher were stratified by country and surgical outcome. Enrollment took place at 48 academic centers in France, Italy, Finland, Denmark, Sweden, and Canada from December 11, 2013, to April 26, 2017. Final analysis database lock April 2019. Data analysis was performed from February 1 to December 31, 2019.

Interventions

Patients were randomized to receive 6 cycles of (1) carboplatin, area under the curve (AUC) 5 mg/mL·min, plus paclitaxel, 175 mg/m2, every 3 weeks; (2) single-agent carboplatin, AUC 5 mg/mL·min or AUC 6 mg/mL·min, every 3 weeks; or (3) weekly carboplatin, AUC 2 mg/mL·min, plus paclitaxel, 60 mg/m2, on days 1, 8, and 15 every 4 weeks.

Main Outcomes and Measures

The primary outcome was treatment feasibility, defined as the ability to complete 6 chemotherapy cycles without disease progression, premature toxic effects-related treatment discontinuation, or death.

Results

A total of 120 women were randomized. The mean and median age was 80 (interquartile range, 76-83; range, 70-94) years; 43 (36%) had a Geriatric Vulnerability Score of 4 and 13 (11%) had a Geriatric Vulnerability Score of 5; 40 (33%) had stage IV disease. During its third meeting, the independent data monitoring committee's recommendation led to the termination of the trial because single-agent carboplatin was associated with significantly worse survival. Six cycles were completed in 26 of 40 (65%), 19 of 40 (48%), and 24 of 40 (60%) patients in the every-3-weeks combination, single-agent carboplatin, and weekly combination groups, respectively. Treatment-related adverse events were less common with the standard every-3-weeks combination (17 of 40 [43%]) than single-agent carboplatin or weekly combination therapy (both 23 of 40 [58%]). Treatment-related deaths occurred in 4 patients (2 of 40 [5%] in each combination group).

Conclusions and Relevance

This randomized clinical trial shows that compared with every-3-weeks or weekly carboplatin-paclitaxel regimens, single-agent carboplatin was less active with significantly worse survival outcomes in vulnerable older patients with ovarian cancer.

Trial Registration

ClinicalTrials.gov Identifier: NCT02001272.

Age-Related Considerations in Cardio-Oncology

Cardio-Oncology has blossomed as a new field in cardiovascular medicine, in large part due to new therapies, which may have cardiovascular sequelae. Despite this, anthracyclines still serve as cornerstone therapy for most pediatric cancers, several solid tumors and hematological malignancies. Cardiotoxicity is the main limiting concern with anthracyclines, and this is particularly an issue in patients in extremes of age (both young and old patients). Pediatric hearts are susceptible for cardiotoxicity, while in older patients, concomitant risk factors may contribute to lower threshold for cardiotoxic effects. With increasing patient survival, a significant increase in elderly cancer patients and long-term cardiotoxicity effects of anthracyclines, a better mechanistic understanding of age-dependent processes-that define cardiotoxicity-is needed. This review sheds light on how age affects underlying molecular pathways of anthracycline-associated cardiotoxicity and aims to provide preventive strategies that can be used in clinical practice.

Treatment strategies for recurrent ovarian cancer in older adult patients in Japan: a study based on real-world data

BACKGROUND/OBJECTIVE

Elderly patients with cancer are often at risk for undertreatment because of frailty, an aging-specific problem. However, current real-world conditions of recurrent ovarian cancer treatment in elderly patients remain unclear. This study aimed to clarify treatment patterns in elderly patients with recurrent ovarian cancer.

PATIENTS AND METHODS

We used an ovarian cancer database containing the diagnosis and initial therapy of all patients at the National Cancer Center Hospital in Japan from 2007 to 2014. Patients were stratified into the platinum-sensitive group and the platinum-resistant group. We retrospectively assessed chemotherapy use in patients aged ≤ 64, 65-69, 70-74, 75-79, and ≥ 80 years.

RESULTS

Among 253 patients (sensitive group: 135; resistant group: 118), by age group 91%, 95%, 100%, 100%, and 100% received chemotherapy in the sensitive group, and 79%, 67%, 50%, 29%, 0% received chemotherapy in the resistant group, respectively. In the resistant group, the percentage of patients aged 70-74 or 75-79 years who received chemotherapy was significantly lower than the percentage among patients aged ≤ 64 years, respectively (p = 0.01, p = 0.01). In multivariate analysis, age ≥ 70 years (odds ratio [OR], 4.412; 95% confidence interval (CI), 1.628-11.959; p = 0.004) and platinum-free interval < 3 months (OR, 3.434; 95% CI, 1.401-8.399; p = 0.007) were inversely associated with chemotherapy use.

CONCLUSIONS

Doctors and patients did not consider chemotherapy in patients aged ≥ 70 years with platinum-resistant disease. Older age was independently and inversely associated with chemotherapy use in platinum-resistant ovarian cancer. Our results highlight the importance of demographic information in clinical decision-making for elderly patients.

Reasons for guideline non-adherence in older and younger women with advanced stage ovarian cancer

OBJECTIVE

This study aims to assess the reasons for guideline non-adherence in women with advanced stage ovarian cancer and whether these reasons differ according to age.

METHODS

All women diagnosed with advanced stage ovarian cancer, International Federation of Gynecology and Obstetrics (FIGO) IIb-IV, between 2015 and 2018 were selected from the Netherlands Cancer Registry. Treatment patterns and reasons for guideline non-adherence were analyzed according to age groups.

RESULTS

4210 women were included, of whom 34%, 33%, 26%, and 8% were aged <65, 65-75, 75-85, and ≥85 years respectively. With advancing age, less women received guideline-adherent treatment (decreasing from 70% to 2% in women aged <65 and ≥85 years respectively) and more women received best supportive care only (ranging from 4% to 69% in women aged <65 and ≥85 years respectively). The most prevalent reasons for guideline non-adherence differed according to age and included patient preference in older women, and functional status and extent of disease in younger women.

CONCLUSIONS

Most older women did not receive guideline-adherent care and patient preference was the most common reason for this decision. This knowledge provides insight in the current treatment decision-making process and highlights the importance of eliciting patient treatment preferences. Further prospective research is necessary to study the underlying motivation for women to decline guideline care and the extent to which shared decision-making influences treatment choice.

GERiatric Screening in the treatment of elderly patients with Ovarian Carcinoma (GERSOC): study protocol for a pragmatic, cluster randomised controlled trial

Background

Approximately 40% of the newly diagnosed patients with advanced ovarian cancer are aged 70 years or older. Standard treatment for advanced disease consists of cytoreductive surgery and combination chemotherapy. In older patients, standard treatment is often withheld or prematurely stopped due to suspected frailty. It remains challenging to distinguish fit elderly patients who can endure standard therapy from frail patients who may benefit from an adapted treatment strategy. As a comprehensive geriatric assessment (CGA) can contribute to the identification of frail patients and improve tailored therapy in this population, screening tests were developed to select those who may benefit from a CGA. However, the use of these geriatric screening tests has rarely been compared with usual clinical care. The GERSOC-trial will evaluate whether geriatric screening in elderly patients with advanced-stage ovarian cancer improves treatment completion and quality of life.

Methods

This pragmatic, cluster randomised controlled trial will be conducted at a minimum of 20 hospitals in the Netherlands. Hospitals are randomly assigned to geriatric screening care (in which a geriatric screening comprised of the G8 questionnaire and the Timed Up and Go test is performed), or care as usual (in which current usual care is continued). A total of 320 patients aged ≥ 70 years with primary, advanced-stage ovarian carcinoma will be included. Patients considered fit on geriatric screening will receive standard treatment; patients who are considered unfit will be referred to a geriatrician for analysis and treatment advice. The primary outcome is the percentage difference in completed standard and adapted therapies between the two study arms. Secondary outcomes include quality of life, cost-effectiveness and survival.

Discussion

This trial aims to gather evidence for the use of geriatric screening in treatment decision-making in elderly patients with advanced ovarian cancer. If proven feasible, beneficial and cost-effective, geriatric screening may be implemented in routine clinical practice.

Trial registration

Netherlands Trial Registry, ID: NL6745. Registered on 2 August 2017.

Chemotherapy alone for patients 75 years and older with epithelial ovarian cancer-is interval cytoreductive surgery still needed?

BACKGROUND

Patients ≥75 years old with ovarian cancer experience high perioperative morbidity, but recruitment into prospective trials to assess the role of surgery continues to be challenging.

OBJECTIVE

To compare overall survival for patients ≥75 years old with ovarian cancer after chemotherapy alone vs neoadjuvant chemotherapy with interval cytoreductive surgery.

STUDY DESIGN

Data were extracted from the National Cancer Data Base from 2004 to 2014. Kaplan-Meier and Cox proportional hazards models were used for statistical analyses.

RESULTS

Of 1661 patients (median age: 79 years), most were white (88%) and had stage III-IV disease (95%), and 51% had serous histology. Of those who did not receive primary surgery, 58% had chemotherapy alone and the remainder had neoadjuvant chemotherapy with interval cytoreductive surgery. The use of neoadjuvant chemotherapy with interval cytoreductive surgery increased from 28% to 50% in years 2004-2007 to 2012-2014 (P<.001). Compared with neoadjuvant chemotherapy with interval cytoreductive surgery, chemotherapy-only patients were older (80 vs 78 years; P<.001) and had more advanced stage disease (98% vs 91%; P<.001). The 5-year overall survival of the entire study group was 14%; those who underwent neoadjuvant chemotherapy with interval cytoreductive surgery had overall survival of 25% compared with only 7% in chemotherapy alone group (P<.001). In multivariable analysis, neoadjuvant chemotherapy with interval cytoreductive surgery (hazard ratio, 0.44; 95% confidence interval, 0.36-0.54; P<.001) was an independent predictor for improved survival. Older (80-84 years) age (hazard ratio, 1.35; 95% confidence interval, 1.12-1.63; P=.002), advanced (stage III-IV) disease (hazard ratio; 2.06, 95% confidence interval, 1.37-3.09; P=.001), and clear cell histology (hazard ratio; 2.17, 95% confidence interval, 1.10-4.28; P=.03) portended for worse outcome.

CONCLUSION

Patients ≥75 years with ovarian cancer old have an overall poor prognosis. Receiving neoadjuvant chemotherapy followed by interval cytoreductive surgery is associated with greater overall survival compared to chemotherapy alone.

The Jun N-terminal kinases signaling pathway plays a "seesaw" role in ovarian carcinoma: a molecular aspect

Ovarian cancer is the most common gynecological malignancy that causes cancer-related deaths in women today; this being the case, developing an understanding of ovarian cancer has become one of the major driving forces behind cancer research overall. Moreover, such research over the last 20 years has shown that the Jun N-terminal kinase (JNK) signaling pathway plays an important role in regulating cell death, survival, growth and proliferation in the mitogen-activated protein kinases (MAPK) signaling pathway, an important pathway in the formation of cancer. Furthermore, the JNK signaling pathway is often regulated by an abnormal activation in human tumors and is frequently reported in the literature for its effect on the progression of ovarian cancer. Although the FDA has approved some JNK inhibitors for melanoma, the agency has not approved JNK inhibitors for ovarian cancer. However, there are some experimental data on inhibitors and activators of the JNK signaling pathway in ovarian cancer, but related clinical trials need to be further improved. Although the Jun N-terminal kinase (JNK) signaling pathway is implicated in the formation of cancer in general, research has also indicated that it has a role in suppressing cancer as well. Here, we summarize this seemingly contradictory role of the JNK signaling pathway in ovarian cancer, that ‘seesaws’ between promoting and suppressing cancer, as well as summarizing the application of several JNK pathway inhibitors in cancer in general, and ovarian cancer in particular.

[Integral approach to the older patient with cancer]

Introduction

The world population, as well as the number of elderly people, grow exponentially. Elderly individuals are at a higher risk of developing an oncological disease, especially because they are subject to a longer period of exposure to carcinogens, and a worse capacity for regeneration of their deoxyribonucleic acid (DNA) (1). Cancer in elderly individuals represents 80% of the annual deaths secondary to this pathology (2). The older patient with cancer presents many differences with respect to the rest of elderly individuals. On the one hand, functional limitation and geriatric syndromes are more prevalent (3), as well as the presence of frailty (4). In addition, they habitually have a worse perception of their health status (4). For all these reasons, the attention to oncological older patients must be specialized and, in their evaluation, the use of a fundamental tool is required, the Comprehensive Geriatric Assessment (CGA). As its name indicates, its application requires collaboration between different specialties (5,6). This multidisciplinary work will improve the baseline situation of the patient, in those cases in which it is possible, and will facilitate the subsequent therapeutic management (7). Finally, the existence of concrete organizational models, such as the Oncogeriatrics Units, or the Cancer Consultations in the Elderly, can facilitate and favor this integral approach (5). In this article a review of all these concepts is carried out.

[Effects of age-period and cohort on mortality due to ovarian cancer in Brazil and its regions]

This article sought to evaluate the effects of age, period and birth cohort (APC) on the temporal evolution of mortality due to ovarian cancer in Brazil and its regions from 1980 to 2014. This is an ecological, time-trend study using APC models with a Baysean approach and INLA (Integrated Nested Laplace Approximations) deterministic method for parameter inference. Mortality data and population data were obtained from the Brazilian Health Informatics Department. Rates of mortality due to ovarian cancer, according to geographical region, were standardized using the direct method, after correcting deaths for undefined causes and incomplete cancer diagnosis. In the period we studied, Brazil had 4.91 deaths due to ovarian cancer per 100,000 women, the Southern (5.66) and Southeastern regions (5.70) had higher rates per 100,000 women and the Northern region had the lowest rate (3.13/100,000 women). In all regions, there was a progressive increase in mortality as ages advanced. The multivariate best fit APC model showed positive risk of death in the Central and Northeast between 2010-2014 and, beginning in 1995-1999, in the South. We also observed a positive and significant risk of death for older cohorts in the South and Southeast and a reduced risk for younger cohorts. The inverse was opposed in the Northern and Northeastern regions. The data shows a heterogeneous pattern in the temporal evolution of mortality due to ovarian cancer in the Brazilian geographical regions, which may be related to the distinct demographic and epidemiological transition processes experienced in these regions.

Chemotherapy in older adult gynecologic oncology patients: Can a phenotypic frailty score predict tolerance?

OBJECTIVE

Evaluate the ability of an office-administered phenotypic frailty assessment to predict chemotherapy tolerance in older adult gynecologic oncology patients, and describe practice patterns for chemotherapy administration in this population.

METHODS

Prospective, single-institution cohort study of gynecologic oncology patients 65 or older initiating chemotherapy. Phenotypic frailty testing at an office visit encompassed components of two validated frailty assessments: Fried Score (physical testing and patient response) and FRAIL Scale (patient response only). Patients were followed through three cycles of neoadjuvant chemotherapy or six cycles of adjuvant chemotherapy. Standard statistics examined the relationship of frailty to chemotherapy regimen, ability to complete chemotherapy, and complications.

RESULTS

Eighty patients were included, 65% with ovarian and 34% with endometrial cancer. On average 57% of patients were fit, 32% intermediately frail, and 11% frail. 68% received adjuvant chemotherapy versus 32% neoadjuvant. The majority (81%) received IV chemotherapy on a 21-day cycle and 81% initially received a regimen consistent with standard-of-care chemotherapy (SOCC). Age was not associated with receiving SOCC, or tolerance or completion of chemotherapy. Frailty was associated with non-initiation of SOCC in all patients and inability to complete SOCC in adjuvant patients. Complications and regimen alterations were common but were not associated with frailty.

CONCLUSIONS

There is a need to develop tools to help physicians predict chemotherapy tolerance among older adult gynecologic oncology patients in order to prevent both under- and over-treatment while minimizing morbidity. However, in this study phenotypic frailty assessment had limited predictive utility. Among adjuvant chemotherapy patients, frailty was associated with inability to complete SOCC and thus may be helpful in selecting patients appropriate for less aggressive chemotherapy regimens.

Impact of Age, Comorbidity, and FIGO Stage on Treatment Choice and Mortality in Older Danish Patients with Gynecological Cancer: A Retrospective Register-Based Cohort Study

Background

The number of older patients with cancer is increasing in general, and ovarian and endometrial cancer are to a large extent cancers of the elderly. Older patients with cancer have a high prevalence of comorbidity. Comorbidity and age may be predictive of treatment choice and mortality in older patients with cancer along with stage and performance status.

Objectives

The aim of this study was to describe comorbidity in a population of older Danish patients with gynecological cancer, and to evaluate the predictive value of comorbidity and age on treatment choice and cancer-specific and all-cause mortality.

Materials and methods

In this retrospective study, we included 459 patients aged ≥ 70 years. Patients were diagnosed with cervical, endometrial, or ovarian cancer from 1 January, 2007 to 31 December, 2011 and were evaluated and/or treated at Odense University Hospital. Comorbidity was assessed using the Charlson Comorbidity Index. Treatment was classified as curative intended, palliative intended, or no treatment.

Results

Age, International Federation of Gynecology and Obstetrics (FIGO) stage, and performance status were found to be significant predictors of treatment choice, while comorbidity was not. Multivariate analyses showed that both cancer-specific and all-cause mortality were significantly associated with treatment choice, FIGO stage, and performance status. Age was not associated with mortality, with the exception of ovarian cancer, where age was associated with all-cause mortality. Comorbidity was not an independent predictor of treatment choice or mortality.

Conclusions

In our population of older Danish patients with gynecological cancer, age, FIGO stage, and performance status were predictors of treatment choice, while comorbidity was not. Treatment choice, FIGO stage, and performance status were significantly associated with both cancer-specific and all-cause mortality. Age was only associated with mortality in ovarian cancer, while comorbidity was not associated with mortality.

Impact of Comorbidities on Survival in Gastric, Colorectal, and Lung Cancer Patients

BACKGROUND

The presence of comorbidities in cancer patients may influence treatment decisions and prognoses. This study aimed to examine the impact of comorbidities on overall survival in Japanese patients diagnosed with major solid tumors.

METHODS

To obtain patient-level information on clinical conditions and vital status, we performed a record linkage of population-based cancer registry data from Osaka Prefecture, Japan and administrative data produced under the Diagnosis Procedure Combination (DPC) system. The study population comprised patients who received a primary diagnosis of gastric, colorectal, or lung cancer between 2010 and 2012 at any of five cancer centers. We employed the Charlson Comorbidity Index (CCI) score to quantify the impact of comorbidities on survival. The association between CCI score and survival for each cancer site was analyzed using Cox proportional hazards regression models for all-cause mortality, after adjusting for patient sex, age at cancer diagnosis, and cancer stage.

RESULTS

A total of 2,609 patients with a median follow-up duration of 1,372 days were analyzed. The most frequent CCI score among the patients was 0 (77.7%), followed by 2 (14.3%). After adjusting for the covariates, we detected a significant association between CCI score and all-cause mortality. The hazard ratios per one-point increase in CCI score were 1.12 (95% confidence interval [CI], 1.02-1.23), 1.20 (95% CI, 1.08-1.34), and 1.14 (95% CI, 1.04-1.24) for gastric, colorectal, and lung cancer, respectively.

CONCLUSIONS

Comorbidities have a negative prognostic impact on overall survival in cancer patients, and should be assessed as risk factors for mortality when reporting outcomes.

Two-Step Senescence-Focused Cancer Therapies

Damaged cells at risk of neoplastic transformation can be neutralized by apoptosis or engagement of the senescence program, which induces permanent cell-cycle arrest and a bioactive secretome that is implicated in tumor immunosurveillance. While from an evolutionary perspective senescence is beneficial in that it protects against malignancies, the accumulation of senescent cells in tissues and organs with aging and at sites of various pathologies is largely detrimental. Because induction of senescence in cancer cells is emerging as a therapeutic concept, it will be important to consider these detrimental effects, including tumor-promoting properties that may drive the formation of secondary tumors or cancer relapse. In this review we discuss the complex relationship between senescence and cancer, and highlight important considerations for therapeutics.

Treatment and outcome of elderly patients with advanced stage ovarian cancer: A nationwide analysis

OBJECTIVE

To provide an overview of treatment strategies for elderly patients with advanced stage epithelial ovarian cancer (EOC) in daily practice, evaluate changes over time and relate this to surgical mortality and survival.

METHODS

All women diagnosed with advanced stage (FIGO IIB and higher) EOC between 2002 and 2013 were selected from the Netherlands Cancer Registry (n=10,440) and stratified by age, stage and period of diagnosis. Elderly patients were defined as aged ≥70years. Time trends in treatment patterns and postoperative mortality were described by age category and tested using multivariable logistic regression. Relative survival was calculated.

RESULTS

With advancing age, less patients received ((neo-)adjuvant) treatment. Over time, elderly patients were less often treated (OR 2002-2004 versus 2011-2013: 0.73; 95%CI:0.58-0.92). But if treated, more often standard treatment was provided and 30-day postoperative mortality decreased from 4.5% to 1.9% between 2005 and 2007 and 2011-2013. In all age categories treatment shifted from primary surgery towards primary chemotherapy, in patients aged 70-79years combination therapy increased (+5%) between 2002 and 2004 and 2011-2013. Five-year relative survival for patients diagnosed in 2008-2010 aged <70years was 34% compared to 18% for elderly patients.

CONCLUSION

Large treatment differences exist between younger and elderly patients. Over time, selection of elderly patients eligible for curative surgical treatment may have improved. More elderly patients were treated with neoadjuvant chemotherapy while less patients underwent surgery and simultaneously postoperative mortality decreased. However, the large and increasing number of elderly patients without treatment and the large survival gap suggests opportunities for further improvements in the care for elderly EOC patients.

Identification of polymorphisms in cancer patients that differentially affect survival with age

The World Health Organization predicts that the proportion of the world's population over 60 will almost double from 12% to 22% between 2015 and 2050. Ageing is the biggest risk factor for cancer, which is a leading cause of deaths worldwide. Unfortunately, research describing how genetic variants affect cancer progression commonly neglects to account for the ageing process. Herein is the first systematic analysis that combines a large longitudinal data set with a targeted candidate gene approach to examine the effect of genetic variation on survival as a function of age in cancer patients. Survival was significantly decreased in individuals with heterozygote or rare homozygote (i.e. variant) genotypes compared to those with a common homozygote genotype (i.e. wild type) for two single nucleotide polymorphisms (rs11574358 and rs4147918), one gene (SIRT3) and one pathway (FoxO signalling) in an age-dependent manner. All identified genes and pathways have previously been associated with ageing and cancer. These observations demonstrate that there are ageing-related genetic elements that differentially affect mortality in cancer patients in an age-dependent manner. Understanding the genetic determinants affecting prognosis differently with age will be invaluable to develop age-specific prognostic biomarkers and personalized therapies that may improve clinical outcomes for older individuals.

Only complete tumour resection after neoadjuvant chemotherapy offers benefit over suboptimal debulking in advanced ovarian cancer

OBJECTIVE

The aim of this study was to compare surgical results and survival outcome of advanced ovarian cancer patients who were treated with primary versus interval debulking surgery.

STUDY DESIGN

In this retrospective study stage III and IV ovarian cancer patients who received debulking surgery from 2006 to 2015 were included. Surgical results were described as complete, optimal or suboptimal debulking and chi-square test was used to assess significant differences. Overall survival was measured using Kaplan-Meier curves, the log-rank test and uni- and multivariable Cox regression analyses.

RESULTS

Of 146 patients included in the study, 55 patients were treated with primary debulking surgery (PDS) followed by adjuvant chemotherapy and 91 patients received neoadjuvant chemotherapy (NAC) followed by interval debulking surgery (IDS). Complete or optimal debulking (0-10mm of residual disease) was achieved in 76.4% (n=42) of the PDS group and in 79.1% (n=72) of the IDS group. Overall median survival was 38 months for PDS and 31 months for IDS, which was not significantly different (p=0.181). In the IDS group, a significant difference was found in OS between complete and optimal resection (p=0.013). Besides that, no difference in survival outcome was found in the IDS group between patients with optimal or suboptimal debulking (median survival were 20 and 19 months respectively).

CONCLUSION

Complete debulking surgery is of utmost importance, both in case of PDS and IDS. Achieving optimal interval debulking of 1-10mm residual disease did not show any survival benefit over suboptimal interval debulking.

History of Comorbidities and Survival of Ovarian Cancer Patients, Results from the Ovarian Cancer Association Consortium

Background: Comorbidities can affect survival of ovarian cancer patients by influencing treatment efficacy. However, little evidence exists on the association between individual concurrent comorbidities and prognosis in ovarian cancer patients.Methods: Among patients diagnosed with invasive ovarian carcinoma who participated in 23 studies included in the Ovarian Cancer Association Consortium, we explored associations between histories of endometriosis; asthma; depression; osteoporosis; and autoimmune, gallbladder, kidney, liver, and neurological diseases and overall and progression-free survival. Using Cox proportional hazards regression models adjusted for age at diagnosis, stage of disease, histology, and study site, we estimated pooled HRs and 95% confidence intervals to assess associations between each comorbidity and ovarian cancer outcomes.Results: None of the comorbidities were associated with ovarian cancer outcome in the overall sample nor in strata defined by histologic subtype, weight status, age at diagnosis, or stage of disease (local/regional vs. advanced).Conclusions: Histories of endometriosis; asthma; depression; osteoporosis; and autoimmune, gallbladder, kidney, liver, or neurologic diseases were not associated with ovarian cancer overall or progression-free survival.Impact: These previously diagnosed chronic diseases do not appear to affect ovarian cancer prognosis. Cancer Epidemiol Biomarkers Prev; 26(9); 1470-3. ©2017 AACR.

Ovarian Cancer and Comorbidity: Is Poor Survival Explained by Choice of Primary Treatment or System Delay?

Objectives

Comorbidity influences survival in ovarian cancer, but the causal relations between prognosis and comorbidity are not well characterized. The aim of this study was to investigate the associations between comorbidity, system delay, the choice of primary treatment, and survival in Danish ovarian cancer patients.

Methods

This population-based study was conducted on data from 5317 ovarian cancer patients registered in the Danish Gynecological Cancer Database. Comorbidity was classified according to the Charlson Comorbidity Index and the Ovarian Cancer Comorbidity Index. Pearson χ2 test and multivariate logistic regression analyses were used to investigate the association between comorbidity and primary outcome measures: primary treatment (“primary debulking surgery” vs “no primary surgery”) and system delay (more vs less than required by the National Cancer Patient Pathways [NCPPs]). Cox regression analyses, including hypothesized mediators stepwise, were used to investigate if the impact of comorbidity on overall survival is mediated by the choice of treatment or system delay.

Results

A total of 3945 patients (74.2%) underwent primary debulking surgery, whereas 1160 (21.8%) received neoadjuvant chemotherapy. When adjusting for confounders, comorbidity was not significantly associated to the choice of treatment. Surgically treated patients with moderate/severe comorbidity were more often experiencing system delay longer than required by the NCPP. No association between comorbidity and system delay was observed for patients treated with neoadjuvant chemotherapy. Survival analyses demonstrated that system delay longer than NCPP requirement positively impacts survival (hazard ratio, 0.90 [95% confidence interval, 0.82–0.98]), whereas primary treatment modality has no significant impact on survival.

Conclusions

Patients with moderate/severe comorbidity experience often a longer system delay than patients with no or mild comorbidity. Age, stage, and comorbidity are factors influencing the choice of treatment, with stage being the most important factor and comorbidity of lesser importance. The impact of comorbidity on survival does not seem to be mediated by the choice of treatment or system delay.

History of hypertension, heart disease, and diabetes and ovarian cancer patient survival: evidence from the ovarian cancer association consortium

PURPOSE

Survival following ovarian cancer diagnosis is generally low; understanding factors related to prognosis could be important to optimize treatment. The role of previously diagnosed comorbidities and use of medications for those conditions in relation to prognosis for ovarian cancer patients has not been studied extensively, particularly according to histological subtype.

METHODS

Using pooled data from fifteen studies participating in the Ovarian Cancer Association Consortium, we examined the associations between history of hypertension, heart disease, diabetes, and medications taken for these conditions and overall survival (OS) and progression-free survival (PFS) among patients diagnosed with invasive epithelial ovarian carcinoma. We used Cox proportional hazards regression models adjusted for age and stage to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) overall and within strata of histological subtypes.

RESULTS

History of diabetes was associated with increased risk of mortality (n = 7,674; HR = 1.12; 95% CI = 1.01-1.25). No significant mortality associations were observed for hypertension (n = 6,482; HR = 0.95; 95% CI = 0.88-1.02) or heart disease (n = 4,252; HR = 1.05; 95% CI = 0.87-1.27). No association of these comorbidities was found with PFS in the overall study population. However, among patients with endometrioid tumors, hypertension was associated with lower risk of progression (n = 339, HR = 0.54; 95% CI = 0.35-0.84). Comorbidity was not associated with OS or PFS for any of the other histological subtypes. Ever use of beta blockers, oral antidiabetic medications, and insulin was associated with increased mortality, HR = 1.20; 95% CI = 1.03-1.40, HR = 1.28; 95% CI = 1.05-1.55, and HR = 1.63; 95% CI = 1.20-2.20, respectively. Ever use of diuretics was inversely associated with mortality, HR = 0.71; 95% CI = 0.53-0.94.

CONCLUSIONS

Histories of hypertension, diabetes, and use of diuretics, beta blockers, insulin, and oral antidiabetic medications may influence the survival of ovarian cancer patients. Understanding mechanisms for these observations could provide insight regarding treatment.

Diabetes mellitus and long-term mortality of ovarian cancer patients. A systematic review and meta-analysis of 12 cohort studies

Ovarian cancer (OC) is the sixth most common cancer among women, and its prognosis is not favorable. Diabetes mellitus (DM) is hypothesized to be associated with a higher mortality in ovarian cancer patients, but evidence is inconsistent. Thus, we aim to investigate if DM is associated with the long-term all-cause and long-term cancer-specific mortality in ovarian cancer patients by synthesizing available epidemiologic evidences. We used 4 electronic databases (PubMed, EMBASE, Web of Science, and Scopus) to search for eligible articles. Title/abstract screening, full-text review, data extraction, and quality assessment were performed by reviewers independently. In meta-analysis, studies reporting risk ratio (RR) or hazard ratio that investigated the association between DM and mortality of OC patients were synthesized by a random-effect model. Subgroup and sensitivity analyses were performed by certain stratification or restrictive rules. Publication bias was assessed by funnel plots and Egger test. Statistical heterogeneity was evaluated by the I-squared value and a chi-squared test for the Cochrane Q statistic. Twelve cohort studies involving 14 outcome measures were included. In overall meta-analysis, the synthesized RR for all-cause mortality was 1.44 (95% CI 1.16-1.79) without substantial statistical heterogeneity (P_Cochrane  = .145, I²  = 34.1%); the synthesized RR for cancer-specific mortality was 1.44 (95% CI 1.08-1.93) with substantial heterogeneity (P_Cochrane  < .001, I²  = 90.1%). No publication bias was observed. Our results suggest DM is associated with a higher all-cause and cancer-specific mortality in ovarian cancer patients. Future studies should be done to examine the association between type 1 DM and ovarian cancer mortality.

Chemotherapy for Elderly Ovarian Cancer Patients

Objective

Ovarian cancer is the most lethal cancer involving the female pelvic reproductive system. Its incidence increases with age and with an aging population, its prevalence should also increase. The goal of our retrospective study is to report our experience in treating women over 65 years of age, with a diagnosis of primary ovarian cancer, using standard intravenous chemotherapy.

Methods

The medical records of 78 patients>65 years of age diagnosed with primary ovarian cancer at the Yale Cancer Center between 1996–2006 were retrospectively reviewed and included in our analysis. Patients had stage I–IV disease (stage I n=5, stage II n=8, stage III n=36, stage IV n=25, unknown n=4).

Results

Sixty-three of 78 women (80.8%) completed the prescribed regimen; and 62 women did not require a dose reduction or chemotherapy discontinuation. The most common reason for a dose reduction or treatment discontinuation was fatigue (6.4%), neutropenia (2.6%), patient preference (2.6%), and multiple co-morbidities (2.6%). The most commonly used regimen was paclitaxel 175mg/m² and carboplatin AUC 5. The hazard ratio for PFS and OS for patients who had dose reduction/discontinuation versus those who completed the prescribed dose was 1.3 (95% CI 0.51–3.26) and 0.63 (95% CI 0.17–2.33), respectively.

Conclusions

Our findings illustrate that elderly women are able to tolerate standard chemotherapy with relatively few significant adverse effects. While different treatment modalities in ovarian cancer are continually being evaluated, additional prospective studies are required to better understand the tolerability and efficacy of such treatment in the elderly population.

Feasibility of dose-dense paclitaxel/carboplatin therapy in elderly patients with ovarian, fallopian tube, or peritoneal cancer

PURPOSE

Weekly dose-dense paclitaxel (PTX) in combination with carboplatin (CBDCA) every 3 weeks (ddTC therapy) is a standard treatment for patients with advanced ovarian cancer. However, there is no detailed analysis of the feasibility of ddTC therapy in elderly patients with ovarian cancer.

METHODS

We identified patients diagnosed with ovarian, fallopian tube, or peritoneal cancer who received ddTC therapy at the National Cancer Center Hospital from April 2003 to April 2013. We assessed the feasibility of ddTC therapy in elderly patients aged 70 years or older (elderly group), comparing relative dose intensity (RDI) for PTX, CBDCA, and ddTC; adverse events; and rate of chemotherapy discontinuation to those in patients below 70 years of age (younger group).

RESULTS

A total of 143 patients (elderly group, 22; younger group, 121) was analyzed. A comparison of RDI between these two groups showed no significant differences for PTX, CBDCA, and ddTC. Nonhematological and hematological toxicity profiles of the elderly and younger groups were similar, except that severe peripheral neuropathy (Grade 2 or higher) was more common in the elderly group. There was no significant difference in the rate of chemotherapy discontinuation (elderly group, 13.6 % vs. younger group, 7.4 %, p = 0.397).

CONCLUSIONS

Our study showed that ddTC therapy was feasible for elderly patients. However, to prevent severe neuropathy, PTX dose reduction deserves consideration.

Survival of ovarian cancer patients in Denmark: Results from the Danish gynaecological cancer group (DGCG) database, 1995-2012

BACKGROUND

Ovarian cancer has a high mortality rate, especially in Denmark where mortality rates have been reported higher than in adjacent countries with similar demographics. This study therefore examined recent survival and mortality among Danish ovarian cancer patients over an 18-year study period.

METHODS

This nationwide registry-based observational study used data from the Danish Gynecology Cancer Database, Danish Pathology Registry, and Danish National Patient Registry. All patients with ovarian cancer diagnosed between 1995 and 2012 were included in the study. The data sources were linked via the patients' personal identification number and the analyses included data on cancer stage, age, survival, surgery status and comorbidity. The computed outcome measures were age-adjusted mortality rates and age-adjusted overall and relative survival rates for one and five years.

RESULTS

We identified 9972 patients diagnosed with ovarian cancer in the period 1995-2012. The absolute one-year mortality rate decreased from 42.8 (CI 40.3-45.6) in 1995-1999 to 28.3 (CI 25.9-30.9) in 2010-2012, and the five-year mortality rate decreased from 28.2 (CI 27.0-29.5) in 1995-1999 to 23.9 (CI 22.9-25.0) in 2005-2009. After stratification by age, comorbidity and cancer stage, the decrease in one-year mortality was most substantial in the 65-74 year old age group 41.1 (CI 38.8-43.5) to 26.5 (CI 24.4-28.7) and for stage III 39.1 (CI 35.1-43.6) to 22.9 (CI 19.9-26.5) and stage IV 91.3 (CI 80.8-103.2) to 41.9 (CI 35.5-49.5). For overall survival, we showed an increase in one-year survival from 68% (CI 66-69%) in 1995-1999 to 76% (CI 74-78%) in 2010-2012 and an increase in five-year survival from 33% (CI 32-35%) in 1995-1999 to 36% (CI 34-38%) in 2005-2009. Relative survival showed similar increases through the period.

CONCLUSIONS

Ovarian cancer survival in Denmark has improved substantially from 1995 to 2012, bringing Denmark closer to the standards set by adjacent countries.

A new clinically applicable age-specific comorbidity index for preoperative risk assessment of ovarian cancer patients

OBJECTIVE

To develop and validate a new feasible comorbidity index based on self-reported information suited for preoperative risk assessment of ovarian cancer patients.

METHODS

The study was based on patient self-reported data from ovarian cancer patients registered in the Danish Gynecological Cancer Database between January 1, 2005 and December 31, 2012. The study population was divided into a development cohort (n=2020) and a validation cohort (n=1975). Age-stratified multivariate Cox regression analyses were conducted to identify comorbidities significantly impacting five-year overall survival in the development cohort, and regression coefficients were used to construct a new weighted comorbidity index. The index was applied to the validation cohort, and its predictive ability in regard to overall and cancer-specific five-year-survival was investigated. Finally, the performance of the new index was compared to that of the Charlson Comorbidity Index.

RESULTS

Regression coefficients of age and five comorbidities (atherosclerotic cardiac disease, chronic obstructive pulmonary disease, diabetes, dementia and hypertension) were included in the new comorbidity index. The validation study found the new index to be significantly associated to both overall survival (HR 1.44, p=0.013) and cancer-specific survival (HR 1.51, p=0.017) in multivariate analyses adjusted for other prognostic factors. The index was a significantly better predictor than the Charlson Comorbidity Index.

CONCLUSION

This new age-specific comorbidity index based on self-reported information is a significant predictor of overall and cancer-specific survival in ovarian cancer. It can be used to quickly identify those ovarian cancer patients requiring special attention in terms of preoperative optimization and postoperative care.

Under-treatment of elderly patients with ovarian cancer: a population based study

BACKGROUND

Ovarian cancer is the fourth most common cancer among women in France, and mainly affects the elderly. The primary objective of this study was to compare treatment of ovarian cancer according to age.

METHODS

All patients with invasive cancer (n=1151) diagnosed between 1997 and 2011 in the Herault Department of southern France were included. Demographic data (age, area of residence), cancer characteristics (stage, histology, grade) and treatment modality (type, period and location of treatment) were analysed. Univariate and multivariate logistic regression was used to compare treatment by age.

RESULTS

Ovarian cancer was less treated in elderly compared to younger patients, regardless of the type of treatment. This difference was more pronounced for chemotherapy, and was maximal for surgery followed by chemotherapy (odds ratio (OR) for surgery for patients aged >70 vs those aged <70 years=0.47 [0.24-0.91], OR for chemotherapy, age>70 vs <70=0.30 [0.16-0.55] and OR for surgery plus chemotherapy, age>70 vs <70=0.14 [0.08-0.28]). This effect of age was independent of other variables, including stage and grade. The probability of receiving standard treatment, in accordance with recommendations, was reduced by 50% in elderly patients compared to their younger counterparts. Overall and net survival of elderly patients with standard treatment was similar to those of younger patients treated outside standard treatment.

CONCLUSIONS

Elderly women with ovarian cancer were therapeutically disadvantaged compared to younger women. Further studies including co morbidities are necessary to refine these results and to improve therapeutic management of elderly patients with ovarian cancer.

Impact of liver cirrhosis due to chronic hepatitis C viral infection on the outcome of ovarian cancer: a prospective study

BACKGROUND

This study was designed to investigate the impact of liver cirrhosis due to chronic hepatitis C virus (HCV) infection on the disease-free and overall survival of ovarian cancer patients undergoing a standard primary operation followed by standard chemotherapy. Attainment of the operative goals, intra- and postoperative events, possible complications under chemotherapy necessitating the termination of treatment, and the impact of ovarian cancer treatment on liver function were assessed.

METHODS

This was a prospective observational study that included only patients with primary epithelial ovarian cancer. Only patients with Child-Turcotte-Pugh classification class A disease were recruited. Patients were divided into two groups according to whether they had liver cirrhosis. All the patients underwent primary debulking surgery followed by 6 cycles of chemotherapy, and were followed-up for 24 months after chemotherapy was completed.

RESULTS

We recruited 77 patients, 19 of whom had liver cirrhosis. There were no significant differences between patients with or without liver cirrhosis with respect to tumor stage, histopathological type, tumor grade, or optimal operative debulking. There was no registered liver dysfunction-related mortality in the follow-up period, and there were no statistically significant differences between the groups with respect to disease-free or overall survival (p = 0.719 and p = 0.524, respectively).

CONCLUSION

From the results of this study, we conclude that compensated liver cirrhosis (Child-Turcotte-Pugh class A) due to chronic HCV infection affects neither the disease-free nor the overall survival of ovarian cancer patients, regardless of their stage. This study shows that it is possible to treat ovarian cancer patients with cirrhosis caused by HCV infection the same as any other patient; treatment does not have to be adjusted as long as the patients have Class A disease.

Comorbid chronic diseases and their associations with quality of life among gynecological cancer survivors

Background

Many gynecological cancer survivors (GCS) have comorbid chronic diseases (CCD). This study was to estimate the impacts of CCD on quality of life (QOL) in GCS.

Methods

We collected cross-sectional self-reported survey data from 598 GCS between April and July 2013, in Shanghai, China. All the subjects were asked to complete a questionnaire containing the European Organization for Research and Treatment quality of life version 3 questionnaire (EORTC QLQ-C30) and questions on socio-demographic characteristics and CCD. In order to mitigate the bias caused by confounding factors, multiple linear models were employed to calculate adjusted means of QOL scores.

Results

Approximately three-quarters of subjects reported at least one CCD. The highest overall prevalence of all CCD was found in endometrial cancer survivors. Subjects with CCD generally reported lower scores for most EORTC QLQ-C30 scales when compared to subjects without CCD, indicating poorer QOL, particularly for cardiovascular diseases, respiratory diseases, digestive diseases, and musculoskeletal disease.

Conclusions

The CCD are common health problems among GCS. CCD have significantly negative influence on QOL, and GCS with CCD generally reported lower QOL scores. These findings suggested comprehensive cares for GCS.

Impact of Age on 30-Day Mortality and Morbidity in Patients Undergoing Surgery for Ovarian Cancer

OBJECTIVE

To examine the effect of age on postoperative 30-day morbidity and mortality after surgery for ovarian cancer.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program files were used to identify patients with ovarian cancer who underwent surgery in 2005 to 2011. Women were divided into 4 age groups: <60, 60 to 69, 70 to 79, and ≥80 years. Multivariable logistic regression models were performed.

RESULTS

Of 2087 patients included, 47% were younger than 60 years, 28% were 60 to 69 years old, 18% were 70 to 79 years old, and 7% were 80 years or older. Overall 30-day mortality and morbidity rates were 2% and 30%. Elderly patients 80 years or older were more likely to die within 30 days compared with patients younger than 60 years, 60 to 69 years old, and 70 to 79 years old (9.2% vs. 0.6% vs .2.8% vs 2.5%, P < 0.001). Elderly patient aged 80 years or older were more likely to develop pulmonary (9% vs 2% vs 5% vs 3%, P < 0.001) and septic (9% vs 3% vs 5% vs 4%, P = 0.01) complications compared with patients younger than 60 years, 60 to 69 years old, and 70 to 79 years old, respectively. No difference in the risk of renal (0.2% vs 1% vs 1% vs 1%, P = 0.20) complications and surgical reexploration (4% vs 4% vs 3% vs 5%, P = 0.80) between the 4 age groups. In multivariable analyses after adjusting for other confounders, age was a significant predictor of 30-day postoperative mortality and morbidity. Compared with younger patients, octogenarians were 9-times more likely to die and 70% more likely to develop complications within 30 days after surgery. Other significant predictors of 30-day mortality were higher American Society of Anesthesiologists class and hypoalbuminemia (serum albumin ≤ 3 g/dL), whereas, surgical complexity, higher American Society of Anesthesiologists class, longer operative time, and hypoalbuminemia were other significant predictors of 30-day morbidity.

CONCLUSIONS

Elderly patients have a higher risk of perioperative mortality and morbidity within 30 days. Therefore, those patients should be counseled thoroughly about the risk of primary debulking surgery vs neoadjuvant chemotherapy.

Treating gynecologic malignancies in elderly patients

AIM

To determine the relative benefits of full and partial treatment for gynecologic malignancies in elderly patients.

METHODS

A retrospective cohort study of all consecutive patients (n=169) aged 79 and older (median age 82 y; range, 79 to 94 y), diagnosed between 1971 and 2007 with various types of gynecologic malignancies (endometrial, 52%; ovarian, 26%; vulvar, 11%; cervical, 5%; other, 6%) was conducted. Stages were I to II (47%), III to IV (35.5%), and unknown (17.5%). Major comorbidities were hypertension (51%), diabetes (17%), cardiac diseases (34%), and other malignancy (12%). Regardless of age or chronic illnesses, patients were grouped on the basis of having been treated optimally (100 patients; 59.2%), defined as the accepted standard for each diagnosis and stage including surgery and adjuvant radiation or chemotherapy as indicated; or suboptimally (69 patients; 40.8%), that is, no or only partial treatment. Kaplan-Meier survival analysis and Cox proportional hazard models, univariate and multivariable were conducted.

RESULTS

For all patients with suboptimal treatment, the age-and-stage-adjusted hazard ratio for death was 1.76 (95% CI, 1.203-2.570; P=0.004) compared with optimal treatment. Age-adjusted hazard ratio was 2.15 (95% CI, 1.127-4.114; P=0.02) and 2.3 (95% CI, 1.415-3.779; P=0.001) for ovarian and endometrial cancer patients, respectively. Age-adjusted and stage-adjusted hazard ratio was 2.8 (95% CI, 1.099-5.157; P=0.028) and 1.53 (95% CI, 0.867-2.702; P=0.1420) for ovarian and endometrial cancer patients, respectively.

CONCLUSIONS

Optimal treatment in patients with gynecologic malignancies evidently improves survival in elderly patients at any age, and in patients with ovarian cancer at any stage. Regardless of chronological age, the aim should be to deliver optimal treatment.

The influence of comorbidity and comedication on grade III/IV toxicity and prior discontinuation of chemotherapy in recurrent ovarian cancer patients: An individual participant data meta-analysis of the North-Eastern German Society of Gynecological Oncology (NOGGO)

BACKGROUND

Ovarian cancer is usually a cancer of the older age group. Comorbidities and comedications increase with rising age. Aim of this study was to evaluate association of comorbidity and comedication with grade III/IV toxicities and prior cessation of chemotherapy in ovarian cancer patients.

PATIENTS AND METHODS

As an individual participant data meta-analysis this study analyzes the original data of three phase II/III chemotherapy studies of the North-Eastern German Society of Gynecological Oncology (NOGGO). Risk scores for certain combinations of risk factors were calculated based on stepwise regression analyses.

RESULTS

Altogether, 1213 patients were included in the study. Cardiovascular disease was the most frequent comorbidity (47.5%). In multivariate analyses it was associated with hematological, non-hematological, pulmonary and renal grade III/IV toxicities (p=0.002; p<0.001; p=0.005; p<0.001). Renal toxicity was more frequent when using diuretics and ACE-inhibitors (p<0.001; p=0.002). Prior cessation of therapy was e.g. associated with use of diuretics, insulin and digitalis (p=0.001; p=0.04; p=0.03). The risk for renal grade III/IV toxicities was more than 16 times higher when using both a diuretic and an ACE-inhibitor.

CONCLUSIONS

Regimens of ovarian cancer treatment should not be restricted to direct cancer therapy but rather include additional individualized treatment of comorbidities. Comedications such as diuretics increase grade III/IV toxicities and patients at risk should be closely monitored.

Comorbidity and survival among women with ovarian cancer: evidence from prospective studies

The relationship between comorbidity and ovarian cancer survival has been controversial so far. Therefore, we conducted a meta-analysis to summarize the existing evidence from prospective studies on this issue. Relevant studies were identified by searching the PubMed, EMBASE, and ISI Web of Science databases through the end of January 2015. Two authors independently performed the eligibility evaluation and data abstraction. Random-effects models were used to estimate summary hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival. Eight prospective studies involving 12,681 ovarian cancer cases were included in the present study. The summarized HR for presence versus absence of comorbidity was 1.20 (95% CI = 1.11–1.30, n = 8), with moderate heterogeneity (I² = 31.2%, P = 0.179). In addition, the summarized HR for the highest compared with the lowest category of the Charlson’s comorbidity index was 1.68 (95% CI = 1.50–1.87, n = 2), without heterogeneity (I² = 0%, P = 0.476). Notably, a significant negative impact of comorbidity on ovarian cancer survival was observed in most subgroup analyses stratified by the study characteristics and whether there was adjustment for potential confounders. In conclusion, the findings of this meta-analysis suggest that underlying comorbidity is consistently associated with decreased survival in patients with ovarian cancer. Comorbidity should be taken into account when managing these patients.

The influence of neighborhood socioeconomic status and race on survival from ovarian cancer: a population-based analysis of Cook County, Illinois

PURPOSE

Despite significant improvements in treatment for ovarian cancer, survival is poorer for non-Hispanic black (NHB) women compared to non-Hispanic white (NHW) women. Neighborhood socioeconomic status (SES) has been implicated in racial disparities across a variety of health outcomes and may similarly contribute to racial disparities in ovarian cancer survival. The purpose of this analysis is to assess the influence of neighborhood SES on NHB-NHW survival differences after accounting for differences in tumor characteristics and in treatment.

METHODS

Data were obtained from 2432 women (443 NHB and 1989 NHW) diagnosed with epithelial ovarian cancer in Cook County, Illinois between 1998 and 2007. Neighborhood (i.e., census tract) SES at the time of diagnosis was calculated for each woman using two well-established composite measures of affluence and disadvantage. Cox proportional hazard models measured the association between NHB race and survival after adjusting for age, tumor characteristics, treatment, year of diagnosis, and neighborhood SES.

RESULTS

There was a strong association between ovarian cancer survival and both measures of neighborhood SES (P < .0001 for both affluence and disadvantage). After adjusting for age, tumor characteristics, treatment, and year of diagnosis, NHB were more likely than NHW to die of ovarian cancer (hazard ratio [HR] = 1.47, 95% confidence interval [CI]: 1.28-1.68). The inclusion of neighborhood affluence and disadvantage into models separately and together attenuated this risk (HRaffluence = 1.37, 95% CI: 1.18-1.58; HRdisadvantage = 1.28, 95% CI: 1.08-1.52; and HRaffluence + disadvantage = 1.28, 95% CI: 1.08-1.52.

CONCLUSIONS

Neighborhood SES, as measured by composite measures of affluence and disadvantage, is a predictor of survival in women diagnosed with ovarian cancer in Cook County, Illinois and may contribute to the racial disparity in survival.

Breast and ovarian cancer in the older woman

Nearly half of all women diagnosed with breast or ovarian cancer are age 65 years or older with the number of women diagnosed expected to increase as the population ages and life expectancy improves. Older women are less likely to be offered standard cancer treatments, are more likely to develop higher toxicity, and have higher mortality. Chronologic age should not be the only factor used for making treatment decisions. Functional dependence, organ function, comorbidity, polypharmacy, social support, cognitive and/or psychosocial factors, overall life expectancy, and patient's goals of care are equally vital and should be assessed before and during treatment. In this review, current evidence and treatment guidelines for older women with breast or ovarian cancer are outlined.

Cachexia: a preventable comorbidity of cancer. A T.A.R.G.E.T. approach

Although relevant achievements in the treatment of cancer have been obtained, some barriers still remain in the prevention and treatments of cancer comorbidities, including cachexia. Indeed, the enormous advances in the understanding of the pathogenesis of cancer cachexia have not been paralleled by effective strategies aimed at modifying the cultural approach to this devastating condition. Too little attention is still paid to the nutritional and metabolic changes occurring in cancer, despite their negative effects on patients' tolerance to antineoplastic treatments and outcome. We propose a T.A.R.G.E.T. approach as a novel strategy, encompassing active interventions and research development within the different domains influencing the onset and the progression of cancer cachexia. Moreover, based on the most recent clinical evidences, we suggest that cachexia should be considered a comorbidity of cancer.

The effect of neighborhood-level socioeconomic status on racial differences in ovarian cancer treatment in a population-based analysis in Chicago

BACKGROUND

Less than half of women with ovarian cancer and blacks specifically receive therapy adherent to National Comprehensive Cancer Network (NCCN) guidelines. The purpose is to assess the effect of neighborhood-level socioeconomic status (SES) on black-white treatment differences in a population-based analysis in a highly-segregated community.

METHODS

Illinois State Cancer Registry data for invasive epithelial ovarian cancer cases diagnosed in Cook County, IL in non-Hispanic white (NHW) or black (NHB) women from 1998 to 2009 was analyzed. As few women receive NCCN-adherent care, variables were constructed to assess extent of treatment, including receipt of: 1) debulking surgery; 2) any surgery; 3) multi-agent chemotherapy; and 4) any chemotherapy. Two measures (concentrated affluence and disadvantage) were used to estimate neighborhood-level SES. Multivariable logistic regression was used to compute odds ratios (OR) and 95% confidence intervals (95% CI), with generalized linear mixed models to account for hierarchical data.

RESULTS

2766 (81.0%) NHW and 647 (19.0%) NHB women were diagnosed. Adjusting for covariates, NHB were less likely to receive debulking surgery (OR: 0.39; 95% CI: 0.30-0.50), any surgery (OR: 0.38; 95%CI: 0.29-0.49), multi-agent chemotherapy (OR: 0.56; 95% CI: 0.45-0.71) and any chemotherapy (OR: 0.58; 95% CI: 0.45-0.74). Concentrated affluence but not disadvantage was significant in final models for multi-agent and any chemotherapy, but not debulking or any surgery.

CONCLUSIONS

Results identify black-white differences consistent across treatments that persist despite adjustment for neighborhood-level SES.

IMPACT

Results advance inequality awareness beyond "ideal" NCCN-adherent care, indicating inequality exists in delivery of even the most basic oncologic care.

Cytoreduction and HIPEC after neoadjuvant chemotherapy in stage IIIC-IV ovarian cancer. Critical analysis in elderly patients

OBJECTIVES

The aim of our study was to evaluate postoperative morbidity and mortality, disease-free and overall survival in patients older than 75 years undergoing interval debulking after neoadjuvant chemotherapy and intraoperative hyperthermic intraperitoneal chemotherapy (HIPEC).

STUDY DESIGN

Were included a series of consecutive patients diagnosed with stages IIIC/IV ovarian carcinoma, intervened after neoadjuvant systemic chemotherapy (paclitaxel and carboplatin) between January 2008 and June 2013. After completion of cytoreduction HIPEC was administered using paclitaxel (60mg/m(2)) or cisplatin (75mg/m(2)). We analyzed and compared the results of postoperative morbidity and mortality, disease-free survival and overall survival in patients ≥75 years compared to patients with lower ages intervened in the same time period.

RESULTS

From a total of 66 patients tested, 9 patients were ≥75 years (14%). Grade I-IV morbidity was significantly higher in patients ≥75 years (78% vs 35%, p<0.05) as well as grade III-IV disease (56% vs 16%, p<0.05). There were no procedure-related mortality. In patients ≥75 years the median disease-free survival was 6 months (95% CI: 3.5-8.5 months) vs 24 months (95% CI: 10.5-37.5 months) in younger patients. The median overall survival in patients ≥75 years was 13 months (95% CI: 4.7-21.3), not having reached at time of analysis of the database in younger patients.

CONCLUSIONS

Patients ≥75 years received no benefit in prognosis after interval cytoreduction with HIPEC and paid a high price in terms of postoperative morbidity. This age group should be excluded from this therapeutic procedure.