Abstract
Purpose
Women with advanced ovarian cancer generally have a poor prognosis but there is significant variability in survival despite similar disease characteristics and treatment regimens. The aim of this study was to determine whether psychosocial factors predict survival in women with ovarian cancer, controlling for potential confounders.
Methods
The sample comprised 798 women with invasive ovarian cancer recruited into the Australian Ovarian Cancer Study and a subsequent quality of life study. Validated measures of depression, optimism, minimization, helplessness/hopelessness, and social support were completed 3–6 monthly for up to 2 years. Four hundred nineteen women (52.5 %) died over the follow-up period. Associations between time-varying psychosocial variables and survival were tested using adjusted Cox proportional hazard models.
Results
There was a significant interaction of psychosocial variables measured prior to first progression and overall survival, with higher optimism (adjusted hazard ratio per 1 standard deviation (HR) = 0.80, 95 % confidence interval (CI) 0.65–0.97), higher minimization (HR = 0.79, CI 0.66–0.94), and lower helplessness/hopelessness (HR = 1.40, CI 1.15–1.71) associated with longer survival. After disease progression, these variables were not associated with survival (optimism HR = 1.10, CI 0.95–1.27; minimization HR = 1.12, CI 0.95–1.31; and helplessness/hopelessness HR = 0.86, CI 0.74–1.00). Depression and social support were not associated with survival.
Conclusions
In women with invasive ovarian cancer, psychosocial variables prior to disease progression appear to impact on overall survival, suggesting a preventive rather than modifying role. Addressing psychosocial responses to cancer and their potential impact on treatment decision-making early in the disease trajectory may benefit survival and quality of life.
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Acknowledgments
The following are acknowledged: study participants, nurses, and research assistants, including Lynley Aldridge, Diana Grivas, Naomi McGowan, Colleen Loos, and Rebekah Cicero; institutions and investigators represented within AOCS www.aocstudy.org; clinical and scientific collaborators and New South Wales Hospitals John Hunter, North Shore Private, Royal Hospital for Women, Royal North Shore, Royal Prince Alfred, Westmead, and the NSW Cancer Registry; Queensland Hospitals Mater Misericordiae, Royal Brisbane and Women’s, Townsville, Wesley, and the Queensland Cancer Registry; South Australian Hospitals Flinders Medical Centre, Queen Elizabeth, Royal Adelaide, Burnside War Memorial, and the South Australian Cancer Registry; Tasmania Royal Hobart Hospital; Victorian Hospitals Freemasons, Mercy Hospital for Women, Royal Women’s, and the Victorian Cancer Registry; Western Australian Hospitals King Edward Memorial, St. John of God (Subiaco), Sir Charles Gairdner; and Western Australia Research Tissue Network (WARTN), Western Australian Cancer Registry.
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The study was approved and conducted in accordance with the Human Research Ethics Committees of The University of Sydney, QIMR Berghofer Medical Research Institute, and all participating sites across Australia.
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The authors declare that they have no competing interests.
Research support
This study was funded by The Cancer Councils of New South Wales and Queensland (RG 36/05). Financial support for the parent study was provided by the U.S. Army Medical Research and Materiel Command under DAMD17-01-1-0729; National Health and Medical Research Council (NHMRC) grants 400413, 400281; and Cancer Councils of New South Wales, Queensland, South Australia, Tasmania, Victoria and Western Australia. Additional recruitment was conducted under the Australian Cancer Study (Ovarian Cancer) NHMRC (199600). P Butow is supported by NHMRC Principal Research Fellowship (211199, 457093). P Webb is supported by NHMRC Senior Research Fellowship (1043134).
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Price, M.A., Butow, P.N., Bell, M.L. et al. Helplessness/hopelessness, minimization and optimism predict survival in women with invasive ovarian cancer: a role for targeted support during initial treatment decision-making?. Support Care Cancer 24, 2627–2634 (2016). https://doi.org/10.1007/s00520-015-3070-5
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DOI: https://doi.org/10.1007/s00520-015-3070-5