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BACKGROUND: Modified Glasgow Prognostic Score (mGPS) is predictive of survival in many advanced cancers, but has not been evaluated in recurrent ovarian cancer (ROC). The aim was to determine validity of mGPS in ROC, investigate its associations with health related quality of life (HRQL) and ECOG performance status (PS). METHODS: mGPS is based on serum C reactive protein (CRP) and albumin, with scores ranging from 0 (least) to 2 (most). HRQL was measured with EORTC QLQ C-30 and OV-28. χ2 tests for trend were used to examine the relationship between HRQL, PS and mGPS. Cox proportional hazards regression was used to assess associations between mGPS, HRQL, clinicopathological factors, and overall survival (OS). RESULTS: Inflammatory markers were available in 516 of 948 patients in GCIG SBS. 200(39%) had potentially platinum sensitive ROC with ≥3 lines of chemotherapy, 316(61%) had platinum resistant ROC. 282(55%), 123(24%), 111(22%) had mGPS of 0, 1, 2, respectively. Median OS (months) was 18.1, 9.6, and 6.6 for mGPS 0, 1, and 2 respectively. mGPS was an independent predictor of OS after adjusting for PS and platinum sensitivity (p<0.001). mGPS remained a predictor of OS after adjusting for physical function, role function, global health status, abdominal/GI symptoms, and multiple clinicopathologic factors (p=0.02). Worse PS and higher mGPS were associated with poorer HRQL (p<0.001). Higher mGPS was associated with worse HRQL, independent of PS. CONCLUSION: The mGPS is an independent predictor of OS in ROC after adjusting for HRQL and clinicopathological factors. Higher mGPS is associated with worse HRQL independent of PS. mGPS is simple, inexpensive and may be suitable for clinical practice, clinical trial patient selection and stratification.

BACKGROUND: To optimise measurement precision, relevance to patients and flexibility, patient-reported outcome measures (PROMs) should ideally be adapted to the individual patient/study while retaining direct comparability of scores across patients/studies. This is achievable using item banks and computerised adaptive tests (CATs). The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (QLQ-C30) is one of the most widely used PROMs in cancer research and clinical practice. Here we provide an overview of the research program to develop CAT versions of the QLQ-C30's 14 functional and symptom domains.METHODS: The EORTC Quality of Life Group's strategy for developing CAT item banks consists of: literature search to identify potential candidate items; formulation of new items compatible with the QLQ-C30 item style; expert evaluations and patient interviews; field-testing and psychometric analyses, including factor analysis, item response theory calibration and simulation of measurement properties. In addition, software for setting up, running and scoring CAT has been developed.RESULTS: Across eight rounds of data collections, 9782 patients were recruited from 12 countries for the field-testing. The four phases of development resulted in a total of 260 unique items across the 14 domains. Each item bank consists of 7-34 items. Psychometric evaluations indicated higher measurement precision and increased statistical power of the CAT measures compared to the QLQ-C30 scales. Using CAT, sample size requirements may be reduced by approximately 20-35% on average without loss of power.CONCLUSIONS: The EORTC CAT Core represents a more precise, powerful and flexible measurement system than the QLQ-C30. It is currently being validated in a large independent, international sample of cancer patients.

INTRODUCTION: As patient assessment of health-related quality of life (HRQOL) in cancer clinical trials has increased over the years, so has the need to attach meaningful interpretations to differences in HRQOL scores between groups and changes within groups. Determining what represents a minimally important difference (MID) in HRQOL scores is useful to clinicians, patients and researchers, and can be used as a benchmark for assessing the success of a healthcare intervention. Our objective is to provide an evidence-based protocol to determine MIDs for the European Organisation for Research and Treatment for Cancer Quality of life Questionnaire core 30 (EORTC QLQ-C30). We will mainly focus on MID estimation for group-level comparisons. Responder thresholds for individual-level change will also be estimated.METHODS AND ANALYSIS: Data will be derived from published phase II and III EORTC trials that used the QLQ-C30 instrument, covering several cancer sites. We will use individual patient data to estimate MIDs for different cancer sites separately. Focus is on anchor-based methods. Anchors will be selected per disease site from available data. A disease-oriented and methodological panel will provide independent guidance on anchor selection. We aim to construct multiple clinical anchors per QLQ-C30 scale and also to compare with several anchor-based methods. The effects of covariates, for example, gender, age, disease stage and so on, will also be investigated. We will examine how our estimated MIDs compare with previously published guidelines, hence further contributing to robust MID guidelines for the EORTC QLQ-C30.ETHICS AND DISSEMINATION: All patient data originate from completed clinical trials with mandatory written informed consent, approved by local ethical committees. Our findings will be presented at scientific conferences, disseminated via peer-reviewed publications and also compiled in a MID 'blue book' which will be made available online on

Gynecologic Cancer Intergroup Symptom Benefit Study (GCIG-SBS) Stage 2 aimed to review, revise, and validate a patient-reported outcome measure (PROM), the Measure of Ovarian Symptoms and Treatment concerns (MOST), developed in GCIG-SBS Stage 1 (MOSTv1, 35 items), and document recurrent ovarian cancer (ROC) symptom burden and benefit. GCIG-SBS Stage 2 recruited patients with platinum-resistant/refractory ROC (PRR-ROC) or potentially platinum-sensitive ROC with aeamp;lt;yenamp;gt; 3 lines of prior chemotherapy (PPS-ROC aeamp;lt;yenamp;gt; 3). Patients completed MOSTv1, QLQ-C30, QLQ-OV28, and FACT-O/FOSI at baseline and before cycle 3 of chemotherapy (pre-C3), and global assessments of change (MOST-Change) pre-C3. Clinicians rated patients cancer-related symptoms, performance status, and adverse events. Convergent and divergent validity (Spearmans correlations), discriminative validity (effect sizes between groups classified by clinician-rated characteristics), and responsiveness (paired t tests in patients expected to experience clinically meaningful change) were assessed. Of 948 recruits, 903 completed PROMs at baseline and 685 pre-C3. Baseline symptom burden was substantial for PRR-ROC and PPS-ROC aeamp;lt;yenamp;gt; 3. MOSTv2 has 24 items and five multi-item scales: abdominal symptoms (MOST-Abdo), disease or treatment-related symptoms (MOST-DorT), chemotherapy-related symptoms (MOST-Chemo), psychological symptoms (MOST-Psych), and MOST-Well-being. Correlations confirmed concurrent and divergent validity. Discriminative validity was confirmed by effect sizes that conformed with a priori hypotheses. MOST-Abdo was responsive to improvements in abdominal symptoms and MOST-Chemo detected the adverse effects of chemotherapy. The MOSTv2 validly quantifies patient-reported symptom burden, adverse effects, and symptom benefit in ROC, and as such is fit-for-purpose for clinical trials of palliative chemotherapy in ROC. Further research is required to assess test-retest reli, Funding Agencies|NHMRC [1063012, 570,893]; Target Ovarian Cancer [UCL-P001AL]; Cancer Research UK [C444/A15953]; UCL Cancer Trials Centre [C444/A15953]; Australian Government through Cancer Australia; NHMRC; Department of Health

PurposeTo determine the effects of bevacizumab on patient-reported outcomes (PROs; secondary end point) in the AURELIA trial.Patients and methodsPatients with platinum-resistant ovarian cancer were randomly assigned to chemotherapy alone (CT) or with bevacizumab (BEV-CT). PROs were assessed using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Ovarian Cancer Module 28 (EORTC QLQ-OV28) and Functional Assessment of Cancer Therapy-Ovarian Cancer symptom index (FOSI) at baseline and every two or three cycles (8/9 weeks) until disease progression. The primary PRO hypothesis was that more patients receiving BEV-CT than CT would achieve at least a 15% (≥ 15-point) absolute improvement on the QLQ-OV28 abdominal/GI symptom subscale (items 31-36) at week 8/9. Patients with missing week 8/9 questionnaires were included as unimproved. Questionnaires from all assessments until disease progression were analyzed using mixed-model repeated-measures (MMRM) analysis. Sensitivity analyses were used to determine the effects of differing assumptions and methods for missing data.ResultsBaseline questionnaires were available from 89% of 361 randomly assigned patients. More BEV-CT than CT patients achieved a ≥ 15% improvement in abdominal/GI symptoms at week 8/9 (primary PRO end point, 21.9% v 9.3%; difference, 12.7%; 95% CI, 4.4 to 20.9; P = .002). MMRM analysis covering all time points also favored BEV-CT (difference, 6.4 points; 95% CI, 1.3 to 11.6; P = .015). More BEV-CT than CT patients achieved ≥ 15% improvement in FOSI at week 8/9 (12.2% v 3.1%; difference, 9.0%; 95% CI, 2.9% to 15.2%; P = .003). Sensitivity analyses gave similar results and conclusions.ConclusionBevacizumab increased the proportion of patients achieving a 15% improvement in patient-reported abdominal/GI symptoms during chemotherapy for platinum-resistant ovarian cancer.

Daniel SJ Costa,1 Neil K Aaronson,2 Peter M Fayers,3,4 Peter S Grimison,5,6 Monika Janda,7 Julie F Pallant,8 Donna Rowen,9 Galina Velikova,10 Rosalie Viney,11 Tracey A Young,9 Madeleine T King1On behalf of the MAUCa Consortium1Psycho-oncology Co-operative Research Group, University of Sydney, Sydney, NSW, Australia; 2Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; 3Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK; 4Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway; 5Chris O'Brien Lifehouse, 6Sydney Medical School, University of Sydney, Sydney, NSW, 7School of Public Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, 8Rural Health Academic Centre, University of Melbourne, Shepparton, VIC, Australia; 9School of Health and Related Research, University of Sheffield, Sheffield; 10University of Leeds, St James's Institute of Oncology, Leeds, UK; 11Centre for Health Economics Research and Evaluation, University of Technology, Sydney, NSW, AustraliaBackground: Multi attribute utility instruments (MAUIs) are preference-based measures that comprise a health state classification system (HSCS) and a scoring algorithm that assigns a utility value to each health state in the HSCS. When developing a MAUI from a health-related quality of life (HRQOL) questionnaire, first a HSCS must be derived. This typically involves selecting a subset of domains and items because HRQOL questionnaires typically have too many items to be amendable to the valuation task required to develop the scoring algorithm for a MAUI. Currently, exploratory factor analysis (EFA) followed by Rasch analysis is recommended for deriving a MAUI from a HRQOL measure.Aim: To determine whether confirmatory factor analysis (CFA) is more appropriate and efficient than EFA to derive a HSCS fr

Fatigue is one of the most common symptoms associated with cancer and its treatment. To obtain a more precise and flexible measure of fatigue, the EORTC Quality of Life Group has developed a computerized adaptive test (CAT) measure of fatigue. This is part of an ongoing project developing a CAT version of the widely used EORTC QLQ-C30 questionnaire.

The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group is developing a computer-adaptive test (CAT) version of the EORTC Quality of Life Questionnaire (QLQ-C30). We evaluated the measurement properties of the CAT versions of physical functioning (PF) and fatigue (FA) and compared these with the corresponding QLQ-C30 scales.