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Baseline Quality of Life Factors Predict Long Term Survival after Elective Resection for Colorectal Cancer

DOI: 10.1155/2013/269510

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Abstract:

Background. Studies have shown an association between baseline quality of life (Qol) and survival in advanced cancers. The aim of this study was to investigate their predictive value in long term survival after elective colorectal cancer resection. Methods. A consecutive series of patients undergoing elective colorectal cancer surgery for nonmetastatic disease were recruited in 2003/04. Patients completed standardized quality of life questionnaires (HADS, FACTC, MRS, and PANAS) prior to and 6 weeks after surgery. Univariate (log-rank test) and multivariate analyses (Cox proportional hazards) were performed to predict long term survival. Results. Ninety-seven patients met the inclusion criteria. Sixty-five (67%) were male and the median age of the group was 70 years. Forty-six (47.5%) patients had died and the mean survival was 1,741 days (median 2159, range 9–2923 days). Preoperative mood rating scale and functional assessment of cancer therapy-colorectal FACT C emotional well-being and postoperative FACT C additional concerns were independent predictors of long term survival. Conclusion. Incorporating psychosocial measures in preoperative assessment of cancer patients could help to identify patients who require assessment with a view to implementing psychosocial interventions. These active interventions to maximize mood and well-being should form an integral part of multidisciplinary treatment in these patients. 1. Introduction Quality of life (Qol) is a critical aspect of living with cancer and there is increasing realization that beneficial and adverse changes in Qol are very important for patients and caregivers [1]. Qol measurements have become an integral part of cancer trials and the resultant available Qol data has shown a strong association between Qol and survival in cancer populations [2, 3]. Over the years, the quality of Qol data has also significantly improved allowing more meaningful analysis. Efficace et al. found a significant improvement in the quality and completeness of data and described over 60% of studies as being robust enough to guide clinical decision making [2, 4]. One of the earliest studies showing an association between quality of life and survival was published in 1987 and reported a significant relationship between changes in patient-rated well-being and survival in women receiving treatment for advanced breast cancer [5]. Similar results were published in 1991 in patients with metastatic lung cancer [6]. Numerous studies since then have reported the link between Qol and survival in varying cancers. Publications include

References

[1]  J. Lipscomb, C. C. Gotay, and C. Snyder, Outcomes Assessment in Cancer, Cambridge University Press, Cambridge, Mass, USA, 2005.
[2]  C. C. Gotay, C. T. Kawamoto, A. Bottomley, and F. Efficace, “The prognostic significance of patient-reported outcomes in cancer clinical trials,” Journal of Clinical Oncology, vol. 26, no. 8, pp. 1355–1363, 2008.
[3]  C. Quinten, C. Coens, M. Mauer et al., “Baseline quality of life as a prognostic indicator of survival: a meta-analysis of individual patient data from EORTC clinical trials,” The Lancet Oncology, vol. 10, no. 9, pp. 865–871, 2009.
[4]  F. Efficace, D. Osoba, C. Gotay, M. Sprangers, C. Coens, and A. Bottomley, “Has the quality of health-related quality of life reporting in cancer clinical trials improved over time? Towards bridging the gap with clinical decision making,” Annals of Oncology, vol. 18, no. 4, pp. 775–781, 2007.
[5]  A. Coates, V. Gebski, J. F. Bishop et al., “Improving the quality of life during chemotherapy for advanced breast cancer. A comparison of intermittent and continuous treatment strategies,” The New England Journal of Medicine, vol. 317, no. 24, pp. 1490–1495, 1987.
[6]  P. A. Ganz, J. J. Lee, and J. Siau, “Quality of life assessment: an independent prognostic variable for survival in lung cancer,” Cancer, vol. 67, no. 12, pp. 3131–3135, 1991.
[7]  D. Gupta, D. P. Braun, and E. D. Staren, “Association between changes in quality of life scores and survival in non-small cell lung cancer patients,” European Journal of Cancer Care, vol. 21, no. 5, pp. 614–622, 2012.
[8]  P. Maione, F. Perrone, C. Gallo et al., “Pretreatment quality of life and functional status assessment significantly predict survival of elderly patients with advanced non-small-cell lung cancer receiving chemotherapy: a prognostic analysis of the multicenter Italian lung cancer in the elderly study,” Journal of Clinical Oncology, vol. 23, no. 28, pp. 6865–6872, 2005.
[9]  J. A. Sloan, X. Zhao, P. J. Novotny, et al., “Relationship between deficits in overall quality of life and non-small-cell lung cancer survival,” Journal of Clinical Oncology, no. 13, pp. 1498–1504, 2012.
[10]  S. Urba, J. Gatz, W. Shen et al., “Quality of life scores as prognostic factors of overall survival in advanced head and neck cancer: analysis of a phase III randomized trial of pemetrexed plus cisplatin versus cisplatin monotherapy,” Oral Oncology, vol. 48, no. 8, pp. 723–729, 2012.
[11]  D. Cella, A. G. Bushmakin, J. C. Cappelleri, C. Charbonneau, M. D. Michaelson, and R. J. Motzer, “Baseline quality of life as a prognostic survival tool in patients receiving sunitinib for metastatic renal cell carcinoma,” British Journal of Cancer, vol. 106, no. 4, pp. 646–650, 2012.
[12]  N. R. Maisey, A. Norman, M. Watson, M. J. Allen, M. E. Hill, and D. Cunningham, “Baseline quality of life predicts survival in patients with advanced colorectal cancer,” European Journal of Cancer, vol. 38, no. 10, pp. 1351–1357, 2002.
[13]  F. Efficace, A. Bottomley, C. Coens et al., “Does a patient's self-reported health-related quality of life predict survival beyond key biomedical data in advanced colorectal cancer?” European Journal of Cancer, vol. 42, no. 1, pp. 42–49, 2006.
[14]  D. F. Cella, D. S. Tulsky, G. Gray et al., “The functional assessment of cancer therapy scale: development and validation of the general measure,” Journal of Clinical Oncology, vol. 11, no. 3, pp. 570–579, 1993.
[15]  R. P. Snaith and A. S. Zigmond, “The hospital anxiety and depression scale,” British Medical Journal, vol. 292, no. 6516, p. 344, 1986.
[16]  J. Walker, K. Postma, G. S. McHugh et al., “Performance of the Hospital Anxiety and Depression Scale as a screening tool for major depressive disorder in cancer patients,” Journal of Psychosomatic Research, vol. 63, no. 1, pp. 83–91, 2007.
[17]  D. Watson, L. A. Clark, and A. Tellegen, “Development and validation of brief measures of positive and negative affect: the PANAS scales,” Journal of Personality and Social Psychology, vol. 54, no. 6, pp. 1063–1070, 1988.
[18]  J. R. Crawford and J. D. Henry, “The Positive and Negative Affect Schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample,” British Journal of Clinical Psychology, vol. 43, no. 3, pp. 245–265, 2004.
[19]  J. Anderson, M. B. Walker, and L. G. Walker, “The Mood Rating Scale: a brief, acceptable, reliable and valid state measure of normal mood,” Psycho-Oncology, vol. 9, article 359, 2000.
[20]  L. G. Walker, M. B. Walker, K. Ogston et al., “Psychological, clinical and pathological effects of relaxation training and guided imagery during primary chemotherapy,” British Journal of Cancer, vol. 80, no. 1-2, pp. 262–268, 1999.
[21]  F. Efficace, P. F. Innominato, G. Bjarnason et al., “Validation of patient's self-reported social functioning as an independent prognostic factor for survival in metastatic colorectal cancer patients: results of an international study by the chronotherapy group of the European organisation for research and treatment of cancer,” Journal of Clinical Oncology, vol. 26, no. 12, pp. 2020–2026, 2008.
[22]  S. Earlam, C. Glover, C. Fordy, D. Burke, and T. G. Allen-Mersh, “Relation between tumor size, quality of life, and survival in patients with colorectal liver metastases,” Journal of Clinical Oncology, vol. 14, no. 1, pp. 171–175, 1996.
[23]  K. S. Courneya, C. M. Friedenreich, R. D. Reid et al., “Predictors of follow-up exercise behavior 6 months after a randomized trial of exercise training during breast cancer chemotherapy,” Breast Cancer Research and Treatment, vol. 114, no. 1, pp. 179–187, 2009.
[24]  C. C. Gotay and M. Y. Muraoka, “Quality of life in long-term survivors of adult-onset cancers,” Journal of the National Cancer Institute, vol. 90, no. 9, pp. 656–667, 1998.
[25]  A. M. Berger, L. H. Gerber, and D. K. Mayer, “Cancer-related fatigue: implications for breast cancer survivors,” Cancer, vol. 118, no. 8, supplement, pp. 2261–2269, 2012.
[26]  T. Ishikawa, S. Kokura, N. Sakamoto et al., “Relationship between circulating cytokine levels and physical or psychological functioning in patients with advanced cancer,” Clinical Biochemistry, vol. 45, no. 3, pp. 207–211, 2012.
[27]  A. Sharma, J. Greenman, D. M. Sharp, L. G. Walker, and J. R. T. Monson, “Vascular endothelial growth factor and psychosocial factors in colorectal cancer,” Psycho-Oncology, vol. 17, no. 1, pp. 66–73, 2008.
[28]  M. Watson, J. Homewood, J. Haviland, and J. M. Bliss, “Influence of psychological response on breast cancer survival: 10-year follow-up of a population-based cohort,” European Journal of Cancer, vol. 41, no. 12, pp. 1710–1714, 2005.
[29]  D. Spiegel, S. E. Sephton, A. I. Terr, and D. P. Stites, “Effects of psychosocial treatment in prolonging cancer survival may be mediated by neuroimmune pathways,” Annals of the New York Academy of Sciences, vol. 840, pp. 674–683, 1998.
[30]  P. J. Goodwin, M. Leszcz, M. Ennis et al., “The effect of group psychosocial support on survival in metastatic breast cancer,” The New England Journal of Medicine, vol. 345, no. 24, pp. 1719–1726, 2001.

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