Skip to main content
Top
Published in: BMC Cancer 1/2013

Open Access 01-12-2013 | Research article

Association between genomic recurrence risk and well-being among breast cancer patients

Authors: Valesca P Retèl, Catharina GM Groothuis-Oudshoorn, Neil K Aaronson, Noel T Brewer, Emiel JT Rutgers, Wim H van Harten

Published in: BMC Cancer | Issue 1/2013

Login to get access

Abstract

Background

Gene expression profiling (GEP) is increasingly used in the rapidly evolving field of personalized medicine. We sought to evaluate the association between GEP-assessed of breast cancer recurrence risk and patients’ well-being.

Methods

Participants were Dutch women from 10 hospitals being treated for early stage breast cancer who were enrolled in the MINDACT trial (Microarray In Node-negative and 1 to 3 positive lymph node Disease may Avoid ChemoTherapy). As part of the trial, they received a disease recurrence risk estimate based on a 70-gene signature and on standard clinical criteria as scored via a modified version of Adjuvant! Online. \Women completed a questionnaire 6–8 weeks after surgery and after their decision regarding adjuvant chemotherapy. The questionnaire assessed perceived understanding, knowledge, risk perception, satisfaction, distress, cancer worry and health-related quality of life (HRQoL), 6–8 weeks after surgery and decision regarding adjuvant chemotherapy.

Results

Women (n = 347, response rate 62%) reported high satisfaction with and a good understanding of the GEP information they received. Women with low risk estimates from both the standard and genomic tests reported the lowest distress levels. Distress was higher predominately among patients who had received high genomic risk estimates, who did not receive genomic risk estimates, or who received conflicting estimates based on genomic and clinical criteria. Cancer worry was highest for patients with higher risk perceptions and lower satisfaction. Patients with concordant high-risk profiles and those for whom such profiles were not available reported lower quality of life.

Conclusion

Patients were generally satisfied with the information they received about recurrence risk based on genomic testing. Some types of genomic test results were associated with greater distress levels, but not with cancer worry or HRQoL.

Trial registration

Appendix
Available only for authorised users
Literature
1.
go back to reference Goldhirsch A, Ingle JN, Gelber RD, et al: Threshold for therapies: highlights of the St Gallen international expert consensus on the primary therapy of early breast cancer 2009. Ann Oncol. 2009, 20: 1319-1329. 10.1093/annonc/mdp322.CrossRefPubMedPubMedCentral Goldhirsch A, Ingle JN, Gelber RD, et al: Threshold for therapies: highlights of the St Gallen international expert consensus on the primary therapy of early breast cancer 2009. Ann Oncol. 2009, 20: 1319-1329. 10.1093/annonc/mdp322.CrossRefPubMedPubMedCentral
2.
go back to reference Van’t Veer LJ, Dai H, van de Vijver MJ, et al: Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002, 415: 530-536. 10.1038/415530a.CrossRef Van’t Veer LJ, Dai H, van de Vijver MJ, et al: Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002, 415: 530-536. 10.1038/415530a.CrossRef
3.
go back to reference van de Vijver MJ, He YD, Van’t Veer LJ, et al: A Gene-Expression Signature as a Predictor of Survival in Breast Cancer. N Engl J Med. 2002, 347: 1999-2009. 10.1056/NEJMoa021967.CrossRefPubMed van de Vijver MJ, He YD, Van’t Veer LJ, et al: A Gene-Expression Signature as a Predictor of Survival in Breast Cancer. N Engl J Med. 2002, 347: 1999-2009. 10.1056/NEJMoa021967.CrossRefPubMed
4.
go back to reference Buyse M, Loi S, van’t Veer L, et al: Validation and Clinical Utility of a 70-Gene Prognostic Signature for Women With Node-Negative Breast Cancer. J Natl Cancer Inst. 2006, 98: 1183-1192. 10.1093/jnci/djj329.CrossRefPubMed Buyse M, Loi S, van’t Veer L, et al: Validation and Clinical Utility of a 70-Gene Prognostic Signature for Women With Node-Negative Breast Cancer. J Natl Cancer Inst. 2006, 98: 1183-1192. 10.1093/jnci/djj329.CrossRefPubMed
5.
go back to reference Bueno-de-Mesquita JM, Linn SC, Keijzer R, et al: Validation of 70-gene prognosis signature in node-negative breast cancer. Breast Cancer Res Treat. 2009, 117: 483-495. 10.1007/s10549-008-0191-2.CrossRefPubMed Bueno-de-Mesquita JM, Linn SC, Keijzer R, et al: Validation of 70-gene prognosis signature in node-negative breast cancer. Breast Cancer Res Treat. 2009, 117: 483-495. 10.1007/s10549-008-0191-2.CrossRefPubMed
6.
go back to reference Paik S, Shak S, Tang G, et al: A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004, 351: 2817-2826. 10.1056/NEJMoa041588.CrossRefPubMed Paik S, Shak S, Tang G, et al: A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004, 351: 2817-2826. 10.1056/NEJMoa041588.CrossRefPubMed
7.
go back to reference Cardoso F, Van’t Veer L, Rutgers E, et al: Clinical application of the 70-gene profile: the MINDACT trial. J Clin Oncol. 2008, 26: 729-735. 10.1200/JCO.2007.14.3222.CrossRefPubMed Cardoso F, Van’t Veer L, Rutgers E, et al: Clinical application of the 70-gene profile: the MINDACT trial. J Clin Oncol. 2008, 26: 729-735. 10.1200/JCO.2007.14.3222.CrossRefPubMed
8.
go back to reference Bogaerts J, Cardoso F, Buyse M, et al: Gene signature evaluation as a prognostic tool: challenges in the design of the MINDACT trial. Nat Clin Pract Oncol. 2006, 3: 540-551.CrossRefPubMed Bogaerts J, Cardoso F, Buyse M, et al: Gene signature evaluation as a prognostic tool: challenges in the design of the MINDACT trial. Nat Clin Pract Oncol. 2006, 3: 540-551.CrossRefPubMed
9.
go back to reference Ravdin PM, Siminoff LA, Davis GJ, et al: Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol. 2001, 19: 980-991.PubMed Ravdin PM, Siminoff LA, Davis GJ, et al: Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol. 2001, 19: 980-991.PubMed
10.
go back to reference Rutgers E, Piccart-Gebhart MJ, Bogaerts J, et al: The EORTC 10041/BIG 03–04 MINDACT trial is feasible: results of the pilot phase. Eur J Cancer. 2011, 4: 2742-2749.CrossRef Rutgers E, Piccart-Gebhart MJ, Bogaerts J, et al: The EORTC 10041/BIG 03–04 MINDACT trial is feasible: results of the pilot phase. Eur J Cancer. 2011, 4: 2742-2749.CrossRef
11.
go back to reference O’Neill SC, Brewer NT, Lillie SE, et al: Women’s interest in gene expression analysis for breast cancer recurrence risk. J Clin Oncol. 2007, 25: 4628-4634. 10.1200/JCO.2006.09.6255.CrossRefPubMed O’Neill SC, Brewer NT, Lillie SE, et al: Women’s interest in gene expression analysis for breast cancer recurrence risk. J Clin Oncol. 2007, 25: 4628-4634. 10.1200/JCO.2006.09.6255.CrossRefPubMed
12.
go back to reference Richman AR, Tzeng JP, Carey LA, et al: Knowledge of genomic testing among early-stage breast cancer patients. Psychooncology. 2010, 20 (1): 28-35.CrossRef Richman AR, Tzeng JP, Carey LA, et al: Knowledge of genomic testing among early-stage breast cancer patients. Psychooncology. 2010, 20 (1): 28-35.CrossRef
13.
go back to reference Tzeng JP, Mayer D, Richman AR, et al: Women’s experiences with genomic testing for breast cancer recurrence risk. Cancer. 2010, 116: 1992-2000. 10.1002/cncr.24990.CrossRefPubMed Tzeng JP, Mayer D, Richman AR, et al: Women’s experiences with genomic testing for breast cancer recurrence risk. Cancer. 2010, 116: 1992-2000. 10.1002/cncr.24990.CrossRefPubMed
14.
go back to reference Lo SS, Mumby PB, Norton J, et al: Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection. J Clin Oncol. 2010, 28: 1671-1676. 10.1200/JCO.2008.20.2119.CrossRefPubMed Lo SS, Mumby PB, Norton J, et al: Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection. J Clin Oncol. 2010, 28: 1671-1676. 10.1200/JCO.2008.20.2119.CrossRefPubMed
15.
go back to reference Sulayman N, Spellman E, Graves KD, et al: Psychosocial and Quality of Life in Women Receiving the 21-Gene Recurrence Score Assay: The Impact of Decision Style in Women with Intermediate RS. J Cancer Epidemiol. 2012, 2012: 728290-CrossRefPubMedPubMedCentral Sulayman N, Spellman E, Graves KD, et al: Psychosocial and Quality of Life in Women Receiving the 21-Gene Recurrence Score Assay: The Impact of Decision Style in Women with Intermediate RS. J Cancer Epidemiol. 2012, 2012: 728290-CrossRefPubMedPubMedCentral
16.
go back to reference Bueno-de-Mesquita JM, Van Harten WH, Retèl VP, et al: Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER). Lancet Oncol. 2007, 8: 1079-1087. 10.1016/S1470-2045(07)70346-7.CrossRefPubMed Bueno-de-Mesquita JM, Van Harten WH, Retèl VP, et al: Use of 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based feasibility study (RASTER). Lancet Oncol. 2007, 8: 1079-1087. 10.1016/S1470-2045(07)70346-7.CrossRefPubMed
17.
go back to reference Retèl VP, Bueno-de-Mesquita JM, Hummel MJ, et al: Constructive Technology Assessment (CTA) as a tool in coverage with evidence development: the case of the 70-gene prognosis signature for breast cancer diagnostics. Int J Technol Assess Health Care. 2009, 25: 73-83. 10.1017/S0266462309090102.CrossRefPubMed Retèl VP, Bueno-de-Mesquita JM, Hummel MJ, et al: Constructive Technology Assessment (CTA) as a tool in coverage with evidence development: the case of the 70-gene prognosis signature for breast cancer diagnostics. Int J Technol Assess Health Care. 2009, 25: 73-83. 10.1017/S0266462309090102.CrossRefPubMed
18.
go back to reference Lynch HT, Lemon SJ, Durham C, et al: A descriptive study of BRCA1 testing and reactions to disclosure of test results. Cancer. 1997, 79: 2219-2228. 10.1002/(SICI)1097-0142(19970601)79:11<2219::AID-CNCR21>3.0.CO;2-Y.CrossRefPubMed Lynch HT, Lemon SJ, Durham C, et al: A descriptive study of BRCA1 testing and reactions to disclosure of test results. Cancer. 1997, 79: 2219-2228. 10.1002/(SICI)1097-0142(19970601)79:11<2219::AID-CNCR21>3.0.CO;2-Y.CrossRefPubMed
19.
go back to reference Lerman C, Daly M, Masny A, et al: Attitudes about genetic testing for breast-ovarian cancer susceptibility. J Clin Oncol. 1994, 12: 843-850.PubMed Lerman C, Daly M, Masny A, et al: Attitudes about genetic testing for breast-ovarian cancer susceptibility. J Clin Oncol. 1994, 12: 843-850.PubMed
20.
go back to reference Brady MJ, Cella DF, Mo F, et al: Reliability and validity of the Functional Assessment of Cancer Therapy-Breast quality-of-life instrument. J Clin Oncol. 1997, 15: 974-986.PubMed Brady MJ, Cella DF, Mo F, et al: Reliability and validity of the Functional Assessment of Cancer Therapy-Breast quality-of-life instrument. J Clin Oncol. 1997, 15: 974-986.PubMed
21.
go back to reference Harel O: The estimation of R2 and adjusted R2 in incomplete data sets using multiple imputation. J Appl Stat. 2009, 36 (1): 1109-1118.CrossRef Harel O: The estimation of R2 and adjusted R2 in incomplete data sets using multiple imputation. J Appl Stat. 2009, 36 (1): 1109-1118.CrossRef
22.
go back to reference Rubin DB, Schenker N: Multiple imputation in health-care databases: an overview and some applications. Stat Med. 1991, 10: 585-598. 10.1002/sim.4780100410.CrossRefPubMed Rubin DB, Schenker N: Multiple imputation in health-care databases: an overview and some applications. Stat Med. 1991, 10: 585-598. 10.1002/sim.4780100410.CrossRefPubMed
23.
go back to reference Curran D, Van Dongen JP, Aaronson NK, et al: Quality of life of early-stage breast cancer patients treated with radical mastectomy or breast-conserving procedures: results of EORTC trial 10801. The European Organization for Research and Treatment of Cancer (EORTC), Breast Cancer Cooperative Group (BCCG). Eur J Cancer. 1998, 34 (3): 307-314. 10.1016/S0959-8049(97)00312-2.CrossRefPubMed Curran D, Van Dongen JP, Aaronson NK, et al: Quality of life of early-stage breast cancer patients treated with radical mastectomy or breast-conserving procedures: results of EORTC trial 10801. The European Organization for Research and Treatment of Cancer (EORTC), Breast Cancer Cooperative Group (BCCG). Eur J Cancer. 1998, 34 (3): 307-314. 10.1016/S0959-8049(97)00312-2.CrossRefPubMed
24.
go back to reference De Haes JCJM, Curran D, Aaronson NK, et al: Quality of life of breast cancer patients aged over 70 years, participating in the EORTC 10850 randomised clinical trial. Eur J Cancer. 2003, 39 (7): 945-951. 10.1016/S0959-8049(03)00149-7.CrossRefPubMed De Haes JCJM, Curran D, Aaronson NK, et al: Quality of life of breast cancer patients aged over 70 years, participating in the EORTC 10850 randomised clinical trial. Eur J Cancer. 2003, 39 (7): 945-951. 10.1016/S0959-8049(03)00149-7.CrossRefPubMed
25.
go back to reference Vadaparampil ST, Miree CA, Wilson C, Jacobsen PB: Psychosocial and behavioral impact of genetic counseling and testing. Breast Dis. 2006, 27: 97-108.CrossRefPubMed Vadaparampil ST, Miree CA, Wilson C, Jacobsen PB: Psychosocial and behavioral impact of genetic counseling and testing. Breast Dis. 2006, 27: 97-108.CrossRefPubMed
Metadata
Title
Association between genomic recurrence risk and well-being among breast cancer patients
Authors
Valesca P Retèl
Catharina GM Groothuis-Oudshoorn
Neil K Aaronson
Noel T Brewer
Emiel JT Rutgers
Wim H van Harten
Publication date
01-12-2013
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2013
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/1471-2407-13-295

Other articles of this Issue 1/2013

BMC Cancer 1/2013 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine