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Published in: BMC Cancer 1/2018

Open Access 01-12-2018 | Study protocol

A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients: study protocol of the SCAN-B resilience study

Authors: Ulrika Axelsson, Lisa Rydén, Per Johnsson, Patrik Edén, Johanna Månsson, Ingalill Rahm Hallberg, Carl A. K. Borrebaeck

Published in: BMC Cancer | Issue 1/2018

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Abstract

Background

Individual patients differ in their psychological response when receiving a cancer diagnosis, in this case breast cancer. Given the same disease burden, some patients master the situation well, while others experience a great deal of stress, depression and lowered quality of life. Patients with high psychological resilience are likely to experience fewer stress reactions and better adapt to and manage the life threat and the demanding treatment that follows the diagnosis. If this phenomenon of mastering difficult situations is reflected also in biomolecular processes is not much studied, nor has its capacity for impacting the cancer prognosis been addressed.
This project specifically aims, for the first time, to investigate how a breast cancer patient’s psychological resilience is coupled to biomolecular parameters using advanced “omics” and, as a secondary aim, whether it relates to prognosis and quality of life one year after diagnosis.

Method

The study population consists of newly diagnosed breast cancer patients enrolled in the Sweden Cancerome Analysis Network – Breast (SCAN-B) at four hospitals in Sweden. At the time of cancer diagnosis, the patient fills out the standardized method to measure psychological resilience, the “Connor-Davidson Resilience scale” (CD-RISC), the quality of life measure SF-36, as well as providing social and socioeconomic variables. In addition, one blood sample is collected. At the one-year follow-up, the patient will be subjected to the same assessments, and we also collect information regarding smoking, exercise habits, and BMI, as well as patients’ trust in the treatment and their satisfaction with the care and treatment.

Discussion

This explorative hypothesis-generating project will pave the way for larger validation studies, potentially leading to a standardized method of measuring psychological resilience as an important parameter in cancer care. Revealing the body-mind interaction, in terms of psychological resilience and quality of life, will herald the development of truly personalized psychosocial care and cancer intervention treatment strategies.

Trial registration

This is a retrospectively registered trial at ClinicalTrials.gov, ID: NCT03430492 on February 6, 2018.
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Literature
1.
go back to reference Min JA, Yoon S, Lee CU, Chae JH, Lee C, Song KY, Kim TS. Psychological resilience contributes to low emotional distress in cancer patients. Support Care Cancer. 2013;21:2469–76.CrossRefPubMed Min JA, Yoon S, Lee CU, Chae JH, Lee C, Song KY, Kim TS. Psychological resilience contributes to low emotional distress in cancer patients. Support Care Cancer. 2013;21:2469–76.CrossRefPubMed
2.
go back to reference Southwick SM, Vythilingam M, Charney DS. The psychobiology of depression and resilience to stress: implications for prevention and treatment. Ann Rev Clin Psychol. 2005;1:255–91.CrossRef Southwick SM, Vythilingam M, Charney DS. The psychobiology of depression and resilience to stress: implications for prevention and treatment. Ann Rev Clin Psychol. 2005;1:255–91.CrossRef
3.
go back to reference Herrman H, Stewart DE, Diaz-Granados N, Berger EL, Jackson B, Yuen T. What is resilience? La Revue Canadienne de Psychiatrie. 2011;56:5. Herrman H, Stewart DE, Diaz-Granados N, Berger EL, Jackson B, Yuen T. What is resilience? La Revue Canadienne de Psychiatrie. 2011;56:5.
4.
go back to reference Lutgendorf SK, Sood AK, Antoni MH. Hostfactors and Cancer progression: Biobehavvioral signaling pathways and interventions. J Clin Oncol. 2010;28:4094–9.CrossRefPubMedPubMedCentral Lutgendorf SK, Sood AK, Antoni MH. Hostfactors and Cancer progression: Biobehavvioral signaling pathways and interventions. J Clin Oncol. 2010;28:4094–9.CrossRefPubMedPubMedCentral
5.
7.
8.
go back to reference Connor KM, Davidson JRT. Development of a new resilience scale: the Connor-Davidson resilience scale (CD-RISC). Depress Anxiety. 2003;18:76–82.CrossRefPubMed Connor KM, Davidson JRT. Development of a new resilience scale: the Connor-Davidson resilience scale (CD-RISC). Depress Anxiety. 2003;18:76–82.CrossRefPubMed
9.
go back to reference Connor KM, Davidson JRT, Lee L-C. Spirituality, resilience and anger in survivors of violen trauma: a community study. J Traumatic Stress. 2003;18:71–82. Connor KM, Davidson JRT, Lee L-C. Spirituality, resilience and anger in survivors of violen trauma: a community study. J Traumatic Stress. 2003;18:71–82.
10.
go back to reference Craig A, Blumgart E, Tran Y. Resilience and stuttering: factors that protect people from the adversity of chronic stuttering. Speech Lang Hear Res. 2011;54:1485–96.CrossRef Craig A, Blumgart E, Tran Y. Resilience and stuttering: factors that protect people from the adversity of chronic stuttering. Speech Lang Hear Res. 2011;54:1485–96.CrossRef
11.
go back to reference Ding Y, Bao LP, Xu H, Hallberg IR. Psychometric properties of the Chinese version of sense of coherence scale in women with cervical cancer. Psycho-Oncology. 2012;21:1205–14.CrossRefPubMed Ding Y, Bao LP, Xu H, Hallberg IR. Psychometric properties of the Chinese version of sense of coherence scale in women with cervical cancer. Psycho-Oncology. 2012;21:1205–14.CrossRefPubMed
12.
go back to reference Saal LH, Vallon-Christersson J, Häkkinen J, Hegardt C, Grabau D, Winter C, Brueffer C, Tang MH, Reuterswärd C, Schulz R, Karlsson A, Ehinger A, Malina J, Manjer J, Malmberg M, Larsson C, Rydén L, Loman N, Borg Å. The Sweden Cancerome analysis network - breast (SCAN-B) initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine. Genome Med. 2015;7(1):20.CrossRefPubMedPubMedCentral Saal LH, Vallon-Christersson J, Häkkinen J, Hegardt C, Grabau D, Winter C, Brueffer C, Tang MH, Reuterswärd C, Schulz R, Karlsson A, Ehinger A, Malina J, Manjer J, Malmberg M, Larsson C, Rydén L, Loman N, Borg Å. The Sweden Cancerome analysis network - breast (SCAN-B) initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine. Genome Med. 2015;7(1):20.CrossRefPubMedPubMedCentral
13.
go back to reference Rydén L, Loman N, Larsson C, Hegardt C, Vallon-Christersson J, Malmberg M, Lindman H, Ehinger A, Saal LH, Borg Å. Minimizing inequality in access to precision medicine in breast cancer by real-time population-based molecular analysis in the SCAN-B initiative. Br J Surg. 2018;105:e158–68.CrossRefPubMedPubMedCentral Rydén L, Loman N, Larsson C, Hegardt C, Vallon-Christersson J, Malmberg M, Lindman H, Ehinger A, Saal LH, Borg Å. Minimizing inequality in access to precision medicine in breast cancer by real-time population-based molecular analysis in the SCAN-B initiative. Br J Surg. 2018;105:e158–68.CrossRefPubMedPubMedCentral
14.
go back to reference Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36®): I. Conceptual framework and item selection. Med Care. 1992;30:473–83.CrossRefPubMed Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36®): I. Conceptual framework and item selection. Med Care. 1992;30:473–83.CrossRefPubMed
15.
go back to reference Sullivan M, Karlsson J, Ware JE. The Swedish SF-36® health survey: I. Evaluation of data quality, scaling assumption, reliability and construct validity across general populations in Sweden. Soc Sci Medical. 1995;41:1349–58.CrossRef Sullivan M, Karlsson J, Ware JE. The Swedish SF-36® health survey: I. Evaluation of data quality, scaling assumption, reliability and construct validity across general populations in Sweden. Soc Sci Medical. 1995;41:1349–58.CrossRef
18.
go back to reference Smith-Osborne A, Bolton K. Assessing resilience: review of measures across the life course. J Evidence-Based Social Work. 2013;10:111–26.CrossRef Smith-Osborne A, Bolton K. Assessing resilience: review of measures across the life course. J Evidence-Based Social Work. 2013;10:111–26.CrossRef
19.
go back to reference Sullivan M, Karlsson J, Taft C. SF-36 health survey: Swedish manual and interpretation guide. 2002. Sullivan M, Karlsson J, Taft C. SF-36 health survey: Swedish manual and interpretation guide. 2002.
20.
go back to reference Jöreskog KG, Sörbom D. Advances in factor analysis and structural equation models. Cambridge, MA: Abt Books; 1979. p. 21–43. Jöreskog KG, Sörbom D. Advances in factor analysis and structural equation models. Cambridge, MA: Abt Books; 1979. p. 21–43.
22.
go back to reference Green KT, Hayward LC, Williams AM, Mid-Atlantic Mental Illness Research, Education and Clinical Center Workgroup, et al. Examining the factor structure of the Connor-Davidson resilience scale (CD-RISC) in a post-9/11 U.S. military veteran sample. Assessment. 2014;21:443–51.CrossRefPubMedPubMedCentral Green KT, Hayward LC, Williams AM, Mid-Atlantic Mental Illness Research, Education and Clinical Center Workgroup, et al. Examining the factor structure of the Connor-Davidson resilience scale (CD-RISC) in a post-9/11 U.S. military veteran sample. Assessment. 2014;21:443–51.CrossRefPubMedPubMedCentral
23.
go back to reference Roos JM. Ge extra stöd till ängsliga patienter. Onkologi i Sverige. 2016;2:32–5. Roos JM. Ge extra stöd till ängsliga patienter. Onkologi i Sverige. 2016;2:32–5.
Metadata
Title
A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients: study protocol of the SCAN-B resilience study
Authors
Ulrika Axelsson
Lisa Rydén
Per Johnsson
Patrik Edén
Johanna Månsson
Ingalill Rahm Hallberg
Carl A. K. Borrebaeck
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2018
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-018-4669-y

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