FRAGINOC Study: Screening and Geriatric Assessment and Intervention in Older Patients With Epithelial Ovarian Cancer

Introduction

Several studies have shown that a high percentage of patients with epithelial ovarian cancer (EOC) are undertreated due to their age, even in the absence of comorbidity. On the other hand, there seems to exist a group of frail patients unfit for extensive treatment that are over-treated. Therefore, it is of great interest to identify the group of older patients with EOC, who are frail and would benefit of a comprehensive geriatric assessment and optimisation, including individualised physical training. Unfortunately, no specific screening tool can be recommended or discouraged, and none of these tests are validated in patients with EOC.

Immunodeficiency and biomarkers regarding nutritional status, strength, and general health are not part of the standard evaluation, although several studies have shown a correlation between these factors and the functional independence of older patients, comorbidity, postoperative complications, tolerance to chemotherapy and quality of life.

In oncologic geriatrics a Comprehensive Geriatric Assessment (CGA - an examination performed by an interdisciplinary geriatric team) can be performed before start of treatment. Unfortunately, a complete CGA is both time and resource consuming, and the impact of interventions in older patients with EOC has never been examined.

Hypothesis and purpose

Our hypothesis is that frail patients with advanced ovarian cancer can benefit from a geriatric assessment and optimization, including physical training, increasing their chances of referral to surgery and to get full oncological treatment. The investigators believe that it is possible to develop a frailty screening tool with highly improved accuracy by combining known frailty screening tests, functional tests, and relevant biomarkers, which can help us select those patients who will benefit from a geriatric assessment and intervention.

The clinical study is parceled out in two working projects, WP1 and WP2, which are anchored at the departments of gynecology, geriatric medicine, and oncology at several centers in Denmark.

• WP1: Geriatric assessment and intervention and its impact on treatment outcomes examined in a cohort of older patients with EOC referred to NACT Primary endpoint: To determine whether a CGA and tailored intervention vs. standard of care can increase the proportion of patients referred to IDS.

Secondary endpoints are a)to evaluate whether a CGA and tailored intervention can improve completion of chemotherapy, b) to investigate if CGA and a tailored intervention with physical training vs. standard of care improves treatment outcome and quality of life.

• WP2: Impact of biomarkers, functional tests and immunological profile in assessing frailty and as predictors of adverse treatment outcomes in a national cohort of older EOC patients.

Primary endpoint: to examine the performance of three validated frailty screening tests (G8, mG8, and Clinical Frailty Index (CFI)) in EOC patients in predicting impairments in CGA.

Secondary endpoints are a)to examine whether adding functional tests, biomarkers, and the immunological profile can improve the accuracy of the frailty screening tests b) to examine whether the screening tool is predictive of patients achieving radical surgery and completing oncological treatment, as well as predict adverse treatment outcomes

Method description

The FRAGINOC project is a multicenter study, where WP1 is a clinical randomized trial of screening and intervention in older patients (≥70 years) with a diagnose of advanced EOC (FIGO stage III-IV). WP2 is a prospective observational study, where patients from WP1 will be asked to participate. Furthermore, older patients (≥70 years) referred to PDS or palliation will also be included. Patients will be evaluated at MDT conference, where they will be referred to either PDS and chemotherapy or NACT or palliation. Those referred to NACT will be re-evaluated at a second MDT conference after three cycles of chemotherapy to decide whether they can be referred to IDS.

Screening

All included patients will be screened for frailty after the MDT conference using a combination of the following tools:

• Questionnaires (Geriatric-8, modified Geriatric-8 and clinical frailty scale).
• Functional tests (hand grip test, 30 second chair test and 6 minutes walk test)
• Blood samples, which have all been validated previously although in other cancer types.

These tests will be repeated after the second MDT conference (after 3rd cycle of chemotherapy or before interval surgery)

Randomization and Intervention After the initial frailty screening, patients eligible for primary chemotherapy will be randomized 1:1 to CGA and tailored intervention or standard of care.

The intervention group will be evaluated by a geriatric specialist team examining different domains of their health status with the help of different validated questionnaires and tests, and tailored interventions will be made according to identified needs in the assessed health domains following the geriatric evaluation.

The intervention will specifically include a tailored-made physiotherapy training program of around 9-12 weeks duration, available in both physical and virtual versions. The program consists on supervised resistance training two days a week, either at hospital appointments or virtually from the patients' own home. Those patients who are not able to make the virtual training will be followed up by phone twice a week by the physiotherapist. Additionally, the training will be supported by a progressive walking program measured with a Garmin Vivofit 4 activity tracker. Patients will be thoroughly assessed by a physiotherapist during the training process. Nutritional supplements and advice on sufficient nutrition will be provided according to current clinical guidelines.

Patient-reported outcomes Measures (PROMs) All patients will be asked to complete the European Organization for Research and Treatment of Cancer's Quality of Life Questionnaire - Ovarian Cancer Module (EORTC QLQ C-30, QLQ-OV28) and the supplemental Elderly Cancer Patients Module questionnaire (ELD-14), as well as European Quality of Life- 5 dimensions- 5 levels questionnaire (EQ-5D-5L for cost-utility analysis, at inclusion, after three cycles of chemotherapy, and at the end of treatment.

When assessing the quality of recovery, the QoR-15 questionnaire will be used and evaluated before surgery and 72 hours after PDS or IDS.

Statistical plan/recruitment consideration According to the literature and clinical experience, increasing the number of patients who receive surgery from the present 57 % to 77 % is clinically relevant and possible. To detect a difference of 20 % and obtain a type I error rate of 5% and a power of 80%, a sample size of 86 patients per study arm will be needed. To account for an expected dropout rate of ~20%, it was decided to increase this number to a group size of 100. Thus, a total of 206 patients referred to NACT will be included in the study (WP1 only). Patients referred to PDS will be followed in an observational design. For the last three years, 130 patients fulfilling the inclusion criteria have been treated at RH, OUH, HUH, and SUH each year. Thus, inclusion is expected to run over 2-3 years.

Data will be collected prospectively (demographic, clinical, pathologic, and results from frailty screening, functional tests, blood tests, and intervention effects), and recorded in predesigned RedCap. PRO will be completed by the patients either electronically and registered directly in RedCap, by phone calls or delivered in hand to the Ph.D. student or research nurses. Life-long follow-up data on overall survival will be obtained from the Danish Hospital Registry through linkage with a personal identification number.

Logistic regression will be used to evaluate change over time in ordinal categorical values. Independent T-tests will be used to evaluate in-group and between-groups differences. Kaplan-Meier method and Cox regression analyses will be used to analyze Progression Free Survival.