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Symptom burden and quality of life with chemotherapy for recurrent ovarian cancer: the Gynecologic Cancer InterGroup-Symptom Benefit Study
  1. Yeh Chen Lee1,2,3,
  2. Madeleine T King4,
  3. Rachel L O'Connell2,
  4. Anne Lanceley5,
  5. Florence Joly6,7,
  6. Felix Hilpert8,9,
  7. Alison Davis1,10,
  8. Felicia T Roncolato1,2,
  9. Aikou Okamoto11,12,
  10. Jane Bryce13,14,15,
  11. Paul Donnellan16,
  12. Amit M Oza17,18,
  13. Elisabeth Avall-Lundqvist19,20,21,
  14. Jonathan S Berek22,23,
  15. Jonathan A Ledermann24,
  16. Dominique Berton6,25,
  17. Jalid Sehouli26,27,
  18. Amanda Feeney24,
  19. Marie-Christine Kaminsky6,28,
  20. Katrina Diamante2,
  21. Martin R Stockler2 and
  22. Michael L Friedlander1,3
  23. for the GCIG Symptom Benefit Group
  1. 1Australia New Zealand Gynaecological Oncology Group (ANZGOG), Camperdown, New South Wales, Australia
  2. 2University of Sydney, NHMRC Clinical Trials Centre, Camperdown, New South Wales, Australia
  3. 3Prince of Wales Clinical School, Faculty of Medicine and Health, University of New South Wales, Randwick, New South Wales, Australia
  4. 4University of Sydney, Quality of Life Office of Psycho-Oncology Research Group (PoCoG), Camperdown, New South Wales, Australia
  5. 5UCL Elizabeth Garrett Anderson Institute for Women’s Health, University College London, London, UK
  6. 6GINECO-Group d’Investigateurs Nationaux pour l’Etude des Cancers Ovariens, Paris, France
  7. 7Oncology, Ctr Francois Baclesse, Caen, France
  8. 8Arbeitsgesmeinschaft Gynäkologische Onkologie Studiengruppe (AGO) und North-Eastern German Society of Gynecologcial Oncology (NOGGO), Kiel, Germany
  9. 9Onkologisches Therapiezentrum, Krankenhaus Jerusalem, Hamburg, Germany
  10. 10Medical Oncology, Canberra Hospital, Canberra, Australian Capital Territory, Australia
  11. 11Japanese Gynecologic Oncology Group (JGOG), Tokyo, Japan
  12. 12Department of Obstetrics and Gynecology, Jikei University School of Medicine, Minato-ku, Japan
  13. 13Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Campania, Italy
  14. 14Ascension St John Clinical Research Institute, Tulsa, Oklahoma, USA
  15. 15MITO Multicentre Italian Trials in Ovarian and gynecologic cancer, Italy
  16. 16Cancer Trials Ireland, Galway University Hospital, Galway, Ireland
  17. 17Princess Margaret Consortium (PMHC), Toronto, Ontario, Canada
  18. 18Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
  19. 19Nordic Society of Gynaecological Oncology (NSGO), Copenhagen, Denmark
  20. 20Department of Oncology and Department of Clinical and Experimental Medicine, Linkoping University, Linkoping, Sweden
  21. 21Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
  22. 22Cooperative Gynecologic Oncology Investigators (COGI), Stanford, California, USA
  23. 23Stanford Women's Cancer Centre, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
  24. 24The Cancer Research UK and UCL Cancer Trials Centre, NCRI UK, London, UK
  25. 25Institut de Cancérologie de l’Ouest, Centre René Gauducheau, Saint Herblain, France
  26. 26Arbeitsgesmeinschaft Gynäkologische Onkologie Studiengruppe (AGO) und North-Eastern German Society of Gynecological Oncology (NOGGO), Berlin, Germany
  27. 27Department of Gynecology and Oncological Surgery, Charité Universitätsmedizin Berlin, Berlin, Germany
  28. 28Institut de Cancérologie de Lorraine, Vandoeuvre Les Nancy, France
  1. Correspondence to Professor Michael L Friedlander, Prince of Wales Hospital, Barker Street, Randwick, New South Wales 2031, Australia; m.friedlander{at}


Objective The Gynecologic Cancer InterGroup (GCIG)-Symptom Benefit Study was designed to evaluate the effects of chemotherapy on symptoms and health-related quality of life (HRQL) in women having chemotherapy for platinum resistant/refractory recurrent ovarian cancer (PRR-ROC) and potentially platinum sensitive with ≥3 lines of chemotherapy (PPS-ROC ≥3).

Methods Participants completed the Measure of Ovarian Cancer Symptoms and Treatment (MOST) and European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire QLQ-C30 questionnaires at baseline and every 3–4 weeks until progression. Participants were classified symptomatic if they rated ≥4 of 10 in at least one-third of symptoms in the MOST index. Improvement in MOST was defined as two consecutive scores of ≤3 in at least half of the symptomatic items at baseline. Improvement in HRQL was defined as two consecutive scores ≥10 points above baseline in the QLQ-C30 summary score scale (range 0–100).

Results Of 948 participants enrolled, 910 (96%) completed baseline questionnaires: 546 with PRR-ROC and 364 with PPS-ROC ≥3. The proportions of participants symptomatic at baseline as per MOST indexes were: abdominal 54%, psychological 53%, and disease- or treatment-related 35%. Improvement was reported in MOST indexes: abdominal 40%, psychological 35%, and disease- or treatment-related 38%. Median time to improvement in abdominal symptoms occurred earlier for PRR-ROC than for PPS-ROC ≥3 (4 vs 6 weeks, p=0.044); median duration of improvement was also similar (9.0 vs 11.7 weeks, p=0.65). Progression-free survival was longer among those with improvement in abdominal symptoms than in those without (median 7.2 vs 2.5 months, p<0.0001). Improvements in HRQL were reported by 77/448 (17%) with PRR-ROC and 61/301 (20%) with PPS-ROC ≥3 (p=0.29), and 102/481 (21%) of those with abdominal symptoms at baseline.

Conclusion Over 50% of participants reported abdominal and psychological symptoms at baseline. Of those, 40% reported an improvement within 2 months of starting chemotherapy. Approximately one in six participants reported an improvement in HRQL. Symptom monitoring and supportive care is important as chemotherapy palliated less than half of symptomatic participants.

  • ovarian cancer
  • quality of life (PRO)/palliative care
  • medical oncology

Data availability statement

Data are available upon reasonable request.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, an indication of whether changes were made, and the use is non-commercial. See:

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  • Most participants reported symptoms related to recurrent ovarian cancer

  • 40% of patients symptomatic at baseline reported an improvement in symptoms within 2 months of starting chemotherapy

  • Improvements in quality of life were reported by approximately one in six participants on chemotherapy


Patients with platinum resistant/refractory recurrent ovarian cancer (PRR-ROC) and potentially platinum sensitive recurrent ovarian cancer following ≥3 lines of prior chemotherapy (PPS-ROC ≥3) often experience a multitude of symptoms related to disease progression and cumulative toxicities from prior chemotherapy.1 It can be difficult to distinguish between disease- and chemotherapy-related symptoms such as fatigue, nausea and constipation, among others. Many patients also experience anxiety and depression.2 The goals of chemotherapy in this setting include palliating symptoms, improving health-related quality of life (HRQL), and delaying disease progression. Despite decades of chemotherapy trials in recurrent ovarian cancer, there is uncertainty about how well ‘palliative’ chemotherapy improves symptoms as this is not usually assessed or reported in clinical trials.3

Few trials in recurrent ovarian cancer have reported the effects of chemotherapy either on symptoms or on improvements in HRQL.4–7 Trials of chemotherapy in PRR-ROC have reported median progression-free survival of 3–4 months and objective tumor response rates of 4–20%.8 Although objective tumor response rates are higher in PPS-ROC ≥3, the likelihood of response and the duration of response decrease with each subsequent line of chemotherapy and are similar to those reported in PRR-ROC.9 10 Given that chemotherapy is meant to palliate symptoms, it is important to document the nature and burden of symptoms at baseline, and to evaluate the impact of chemotherapy on symptoms and HRQL.4 7

Based on data from the Gynecologic Cancer InterGroup (GCIG)-Symptom Benefit Study, we have previously reported the predictors of stopping chemotherapy early and survival outcome in patients with PRR-ROC and PPS-ROC≥3.11 12 We report here on their symptom burden at baseline, rates of improvement in symptoms with chemotherapy, time to improvement of symptoms, and duration of improvement. We also report the overall HRQL at baseline, rates of improvement with chemotherapy, and the correlation with the reported improvement in symptoms. The rationale for the study was to inform discussions with patients and their families about the possible benefits and harms of palliative chemotherapy in recurrent ovarian cancer, and to enable the inclusion of symptom benefit as an endpoint in future clinical trials.


GCIG-Symptom Benefit Study

The GCIG-Symptom Benefit Study (clinical trial registration number ACTRN12607000603415, Online supplemental file 1) was a prospective observational cohort study. Stage 1 has been reported.1 Stage 2 aimed to determine the proportion of women benefiting from palliative chemotherapy as defined by a clinically significant improvement in HRQL scores and improvement of symptoms. Participants had either PRR-ROC or PPS-ROC ≥3 and had been recommended palliative chemotherapy by their treating clinician.13 The study was in accordance with the NHMRC Statement on Ethical Conduct in Research Involving Humans and the Declaration of Helsinki, with ethics approval at all participating sites and signed written informed consent was obtained from all participants.

Supplemental material

Symptoms and aspects of HRQL were assessed with the Measure of Ovarian cancer Symptoms and Treatment (MOST-T35),13 14 European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire QLQ-C30,15 16 QLQ-OV28,17 Functional Assessment of Cancer Therapy-Ovarian (FACT-O),18 and Functional Assessment of Cancer Therapy-Ovarian Symptom Index (FOSI).19 Participants completed these questionnaires without assistance on paper while waiting to see their physicians at baseline and before each cycle of chemotherapy until disease progression. Participants were included in the analysis if they completed a questionnaire at baseline and at least one subsequent time point.

Symptom Assessment with MOST-T35

Symptoms and well-being were assessed with MOST-T35,14 which includes 35 items. Three items assess well-being (physical, emotional, overall) on a numeric rating scale from 0 (worst possible) to 10 (best possible). The remainder assess symptoms and treatment-related difficulties on a rating scale from 0 (none at all) to 10 (worst I can imagine), with additional verbal anchors for mild (1–3), moderate (4–6), and severe (7–9). Twenty-four of these items were grouped into five indexes: abdominal (MOST-Abdo, 2 symptoms), disease- or treatment-related (MOST-DorT, 11 symptoms), chemotherapy-related (MOST-Chemo, 6 symptoms), psychological (MOST-Psych, 2 symptoms), and well-being (MOST-Well-being, 3 items).13 Index scores were calculated as the average of the component items, linearly transformed to give a score from 0 (none at all) to 100 (most severe) for the four symptom indexes and 0 (worst possible) to 100 (best possible) for the well-being index.13

Patients were categorized as symptomatic at baseline if they scored ≥4 out of 10 (verbal anchors of moderate, severe, and worst I can imagine) for at least one-third of the items in a MOST symptom index: 1 of 2 items for MOST-Abdo and MOST-Psych, 4 of 11 items for MOST-DorT, and 2 of 6 items for MOST-Chemo. Symptom improvement was defined as ≥2 consecutive scores of ≤3 in items that were symptomatic at baseline and required at least two symptoms for MOST-Chemo and MOST-DorT and at least one symptom for MOST-Abdo and MOST-Psych to improve. For the MOST-Well-being index, a score of ≤6 in at least one well-being item at baseline was considered to represent impaired well-being, and improvement was defined as a score of ≥7 in at least one of the items that scored ≤6 at baseline.

HRQL Assessment with EORTC QLQ-C30 and QLU-C10D

Aspects of HRQL were measured with the EORTC QLQ-C30 which includes 30 items that collectively assess five aspects of functioning (physical, role, cognitive, emotional, and social functioning), eight symptoms commonly experienced by cancer patients, financial difficulties, and a global rating of health and quality of life.15 16

In this analysis we took two approaches to scoring data from the QLQ-C30 to provide a comprehensive measure of aspects of HRQL. The first was to use the QLQ-C30 summary score, which incorporates 27 items (excluding three items: financial difficulties, global quality of life, and health).20 21 A higher score of QLQ-C30 summary score indicates a better HRQL. An improvement in overall HRQL was defined as two or more consecutive summary scores that were ≥10 points higher than the summary score at baseline.

The second approach was to use the EORTC QLU-C10D utility score which incorporates 13 items from the QLQ-C30 covering physical, emotional, role, and social functioning, plus symptoms often experienced by patients with ovarian cancer (fatigue, pain, nausea, sleep problems, bowel problems, and appetite loss).22 Validated Australian utility weights were used, resulting in a score from −0.095 (worst) to 1 (best).23 An improvement in the QLU-C10D utility score was defined as ≥2 consecutive scores that were ≥0.10 higher than the score at baseline.

Statistical Analysis

Continuous variables are reported as mean or median (IQR). Counts with percentages are reported for categorical variables. The χ2 test was used to compare proportions and the Wilcoxon rank-sum test was used for comparisons of non-normally distributed continuous variables. We used the Kaplan–Meier method and log rank test to analyze progression-free survival. Statistical inferences were based on a two-sided significance level of 0.05 without correction for multiplicity. Analyses were performed with SAS version 9.4 and R version 3.6.3.


We recruited 948 participants to GCIG-Symptom Benefit Study stage 2, of whom 933 (98%) received at least one cycle of chemotherapy. This study was an expansion of stage 1, which reported a high symptom burden in 126 participants with PRR-ROC at baseline, of which almost 50% of symptomatic participants reported symptom improvement.1 Baseline questionnaires were completed by 910 of 933 (98%) patients: 546 (60%) with PRR-ROC and 364 (40%) with PPS-ROC ≥3. Questionnaire completion rates (number who completed questionnaires divided by number continuing chemotherapy) were 84% or higher at all time points (Table 1). Patients who ended the chemotherapy cycle but continued to complete questionnaires are also shown in Table 1. Six or more cycles of chemotherapy were administered in 28% (162/570) of those with PRR-ROC and 33% (124/379) of those with PPS-ROC ≥3.

Table 1

Numbers of participants completing patient-reported outcome measures (PROMs) at each time point

Baseline Symptom Burden and Symptom Improvement on Chemotherapy According to MOST Indexes

The numbers and proportions of women classified as symptomatic at baseline according to the five MOST indexes, the number showing an improvement in symptoms and well-being, and the time to improvement in symptoms are shown in Table 2 for all participants and for the sub-groups with PRR-ROC and PPS-ROC ≥3.

Table 2

Burden at baseline and subsequent improvements in symptoms and well-being assessed with MOST index scores

At baseline, before starting chemotherapy, approximately half the participants were classified as symptomatic according to the MOST-Abdo index (481/893, 54%) or MOST-Psych index (472/896, 53%), one-third according to the MOST-DorT index (314/903, 35%), and one-quarter according to the MOST-Chemo index (244/898, 27%). Approximately three-quarters of all participants were classified as having impaired well-being at baseline (633/883, 72%). These proportions were similar among those with PRR-ROC and those with PPS-ROC ≥3 (all p>0.16).

Among participants classified as symptomatic at baseline, improvements during chemotherapy were observed in approximately 40% according to MOST-Abdo (190/481, 40%) and MOST-DorT (118/314, 38%), one-third according to MOST-Psych (165/472, 35%), and one-quarter according to MOST-Chemo (68/244, 28%) and MOST-Well-being (156/633, 25%). Improvements occurred with similar frequencies among those with PRR-ROC and PPS-ROC ≥3.

The median time to improvement in symptoms ranged from 4 to 7 weeks. Improvements in MOST-Abdo occurred earlier for those with PRR-ROC than PPS-ROC ≥3 (median 4 vs 6 weeks, p=0.044). The median time to improvement in MOST-Well-being was 5–6 weeks. The median duration of improvement in MOST-Abdo symptoms among all participants was 10 weeks (IQR 4–20) and was similar among those with PRR-ROC and those with PPS-ROC ≥3 (9.0 vs 11.7 weeks, p=0.65).

Progression-free survival was longer among participants with abdominal symptoms at baseline that improved than in those with abdominal symptoms that did not improve (median 7.2 vs 2.5 months, p<0.0001; Figure 1). Participants without abdominal symptoms at baseline had a median progression-free survival of 5.3 months.

Figure 1

Progression-free survival for sub-groups with symptoms at baseline that improved, symptoms at baseline that did not improve, and no symptoms at baseline.

HRQL Improvement According to the EORTC QLQ-C30 Summary Score and QLU-C10D Utility Score

At baseline, before starting chemotherapy, the proportion of participants who reported reduced HRQL (EORTC QLQ-C30 summary score ≤90 points on a range from 0 to 100) was similar for PRR-ROC (448/516, 87%) and PPS-ROC ≥3 (301/349, 86%). Improvements in HRQL were recorded with similar frequency among those with PRR-ROC and those with PPS-ROC ≥3 (77/448 (17%) vs 61/301 (20%), p=0.29). The median time to improvement in summary score for HRQL was 5 weeks and 9 weeks, respectively (p=0.06).

In general, QLQ-C30 summary scores were higher among participants who completed a larger number of assessments, and summary scores declined as participants approached their last assessments (Figure 2). At baseline, a QLU-C10D score ≤0.9 (on a scale from −0.095 to 1.0) was reported by the same proportions of participants with PRR-ROC (469/509, 92%) and PPS-ROC ≥3 (313/342, 92%). An improvement in HRQL according to the QLU-C10D was reported by fewer participants with PRR-ROC than PPS-ROC ≥3 (90/469 (19%) vs 82/313 (26%), p=0.02). Time to improvement in the QLU-C10D score was somewhat shorter among those with PRR-ROC than in those with PPS-ROC ≥3 (median 4 vs 7 weeks, p=0.02).

Figure 2

European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire QLQ-C30 summary scores for overall quality of life by the number of assessment time points at which questionnaires were completed.

Improvements in Abdominal Symptoms and HRQL

The frequencies of abdominal symptoms, improvements in abdominal symptoms, and improvements in HRQL are shown as an alluvial plot in Figure 3. Approximately half the participants were classified as having abdominal symptoms at baseline according to MOST-Abdo (481/893, 54%). Of those 481 participants, 190 (40%) had an improvement in abdominal symptoms and 102 (21%) had an improvement in HRQL according to the EORTC-QLQ C30 summary score. Among 291 participants with abdominal symptoms at baseline that did not improve, an improvement in HRQL was observed in 21 (7%) participants. An improvement in HRQL was observed in 33 of 412 (8%) participants without abdominal symptoms.

Figure 3

Improvements in abdominal symptoms and overall health-related quality of life (European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire QLQ-C30 summary score) according to treatment group and the presence of abdominal symptoms at baseline.


Summary of Main Results

Our findings confirmed that patients with PRR-ROC and PPS-ROC ≥3 had a high burden of symptoms related to their disease and chemotherapy. Symptom burden at baseline was high and similar among those with PRR-ROC and PPS-ROC ≥3, with over 50% reporting moderate to severe abdominal symptoms (MOST-Abdo) and psychological symptoms (MOST-Psych). Of those symptomatic at baseline, less than 40% reported an improvement in symptoms with chemotherapy. Overall, approximately 15% of participants reported an improvement in aspects of HRQL with chemotherapy. These findings are sobering and demonstrate that only a relatively small proportion of patients overall experience improvement in their symptoms and quality of life as a result of palliative chemotherapy.

Results in the Context of Published Literature

Our findings underscore the importance of assessing symptoms at baseline and during chemotherapy. Similar to PRR-ROC, participants with PPS-ROC ≥3 were found to have a high symptom burden at baseline and marginally higher numerical improvement in symptoms with chemotherapy. Importantly, relative to patients with one or two lines of treatment, our findings showed that the benefit of chemotherapy was low in those who had ≥3 lines of chemotherapy despite being considered to be potentially platinum sensitive, which is in keeping with the clinical observation in routine practice as well as a study reported by Hanker et al.10 Our findings also highlight the need to temper patient expectations about the likelihood that symptoms and quality of life will improve with chemotherapy.

The goals of treatment in PRR-ROC and PPS-ROC ≥3 include palliation of symptoms and delaying cancer progression; our results indicate the limited capacity for chemotherapy to achieve these goals and therefore the importance of supportive care to manage symptoms. We recommend a more comprehensive holistic approach to management and supportive care, including early and routine integration of palliative care, psycho-oncology, and allied health services to address physical, psychological, social, and existential concerns. Moreover, patients’ preferences should be included in the treatment decision-making process.24 Greater attention is also warranted to address side effects of chemotherapy.25 26

Improvements in symptoms and/or HRQL were generally evident within 4–6 weeks (2–3 cycles of chemotherapy). Those with abdominal symptoms at baseline that improved during chemotherapy had a median duration of symptom improvement of 10 weeks and median progression-free survival was 7 months, which is likely a reflection of chemotherapy effect. For the 25% of participants who reported an improvement in MOST-Well-being, the median time to improvement was 6 weeks. Translating these findings into clinical practice, improvements in symptoms and/or HRQL are likely to be observed within 2 months of starting chemotherapy. Persistence of symptoms after 2 months of chemotherapy for PRR-ROC and PPS-ROC ≥3 should trigger reassessment of disease status and careful consideration of whether to continue chemotherapy, increase palliative care involvement, and discuss advanced care planning.

Many patients will persevere through disease-related symptoms and treatment-related side effects in the hope of a tumor response or delayed progression and longer survival. In reality, response rates reported for single agent chemotherapy in PRR-ROC range from 4% to 15% and the impact on overall survival is unclear.8 This study showed that regular assessment of symptoms with MOST could help reveal trends in symptoms and well-being that could complement tumor markers and imaging as indicators of treatment benefit. In addition, using MOST would provide a patient-rated measure of chemotherapy toxicities to counter the well-documented under-reporting of toxicities inherent in clinicians’ assessments.1 27 28

Strengths and Weaknesses of Study

This study describes the impact of palliative chemotherapy on symptoms and HRQL in a large international real-world patient sample using a dataset of patient-rated outcome measures with excellent (≥84%) completion rates. Our study demonstrates the importance of regular assessment of symptoms during chemotherapy and underscores the critical importance of supportive care and symptom management beyond the administration of chemotherapy alone. One limitation of our study was that our patient-reported outcome data were collected for research and not relayed to the treating clinicians in real time.

Implications for Practice and Future Research

Future research should involve systematic collection of patient-reported outcome measures and real-time reporting to their clinicians, as this can improve patient–clinician communication, responsiveness of clinicians to patients’ individual care needs, and patients’ understanding and awareness of symptoms.29 30 A systematic review of 22 randomized trials found that proactive use of patient-reported outcome measures in clinical care can be beneficial, particularly when the results were provided to treating clinicians in real time,29 31 32 but these are not beneficial in all contexts. One of the most influential trials reported improvements in HRQL and overall survival using self-ratings of 12 symptoms commonly experienced during chemotherapy,31 33 including nine of the symptoms assessed by MOST. Timely and tailored symptom management of patients receiving chemotherapy for ovarian cancer could improve patients’ tolerance of chemotherapy.

MOST is an instrument tailored to symptoms and concerns pertinent to ovarian cancer and its treatment. Accordingly, we propose MOST as a suitable candidate for integration into the care of women having treatment for recurrent ovarian cancer, with results reviewed by clinicians in real time. This could improve patients’ understanding and encourage them to report key symptoms that occur between clinic visits. Future research in this area is needed, and in line with a position statement by the GCIG-Symptom Benefit Committee urging the incorporation of patient-centered benefits as end points for trials in ovarian cancer.34


Improvement in symptoms was seen in approximately 40% of those with moderate or severe symptoms at baseline, with a median time to improvement of <2 months. However, many participants did not experience a meaningful improvement in symptoms during chemotherapy. Our findings indicate the need to reassess disease status and decide whether to continue treatment, particularly if symptoms persist beyond 2 months on chemotherapy. In addition, there is a role for using patient-reported outcome measures routinely in clinic to assess symptom benefit during chemotherapy for recurrent ovarian cancer, and the importance of supportive care in this setting.

Data availability statement

Data are available upon reasonable request.

Ethics statements

Patient consent for publication

Ethics approval

This study involves human participants and was approved by the Cancer Institute NSW Clinical Research Ethics Committee (2007C/10/027). Participants gave informed consent to participate in the study before taking part.


The Gynecologic Cancer Intergroup (GCIG) Symptom Benefit study was led by the Australia New Zealand Gynaecological Oncology Group (ANZGOG) in collaboration with the NHMRC Clinical Trials Centre, University of Sydney, Cancer Research UK and UCL Cancer Trials Centre. The authors thank all of the patients and their families, physicians, and nurses who participated in the study.


Supplementary materials

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  • Twitter @YChenLee

  • Contributors YCL, MTK, RO, and MRS contributed to the research proposal, concept development, data analysis, interpretation of results, and drafted and revised the manuscript. AD and FTR contributed to data analysis, interpretation of results and revision of the manuscript. AL, FJ, FH, AO, JB, PD, AMO, EA-L, JSB, JL, DB, JS, AF, and M-CK contributed to patient recruitment to the study, data analysis, interpretation of results and revisions of the manuscript. KD contributed to data acquisition and management, interpretation of results and revised the manuscript. MLF contributed to the research proposal, concept development, patient recruitment to the study, data analysis, interpretation of results, and drafted and revised the manuscript. YCL, MRS, and MLF accept full responsibility for the work and/or the conduct of the study, had access to the data, and controlled the decision to publish.

  • Funding In Australia the study was supported by NHMRC grants (1063012 and 570893). In the UK this was a National Institute for Health Research (NIHR) study jointly funded by Target Ovarian Cancer (UCL-P001AL) and the Cancer Research UK and UCL Cancer Trials Centre (Programme Grant C444/A15953). MTK is supported by the Australian Government through Cancer Australia. MLF is supported by an NHMRC Program grant. AL was assisted by the National Institute for Health Research (NIHR) UCLH/UCL Biomedical Research Centre which is supported by the Department of Health.

  • Competing interests YCL has received honoraria from GSK for participation on the Advisory Board. FJ acknowledges institutional research grants from GSK and has received honoraria for educational events from AstraZeneca, Astellas, Amgen, BMS, Bayer, Clovis, GSK, Ipsen, MSD, Janssen, Pfizer, and Sanofi. AO acknowledges institutional research grants from MSD K.K., Fuji Pharma, Kissei Pharmaceutical, Meiji Holdings, Taiho Pharmaceutical, Kaken Pharmaceutical, Chugai Pharmaceutical, Tsumura, Daiichi Sankyo, Shinnihonseiyaku, Mochida Pharmaceutical, CMIC Holdings, CMIC Holdings, ASKA Pharmaceutical, Takeda, Pfizer, AstraZeneca, and Terumo; and has received honoraria for educational events from Takeda and AstraZeneca. JL acknowledges institutional research grants from AstraZeneca and MSD/Merck and has received honoraria for educational events from AstraZeneca, Neopharm, GSK and Pfizer and participated on the data safety monitoring board of Regeneron. JS has received honoraria (educational events/travel) from AstraZeneca, Clovis, Clovis and Roche; and has participated on the data safety monitoring board or advisory board for AstraZeneca, Clovis, Eisei, GSK, Novocure, Pfizer, Roche, and Tesaro. MLF acknowledges institutional research grants from AstraZeneca, Novartis, and Beigene; has received honoraria (consultancy/educational events) from AstraZeneca, Novartis, GSK, MSD, Takeda, Lily, and ACT-Genomics; and participated on the data safety monitoring board for AGITG. MTK, RO, AL, FH, AD, FTR, JB, PD, AMO, EA-L, JSB, DB, AF, M-CK, KD and MRS declare no conflict of interest.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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