Abstract
Purpose
Breast cancer treatment is associated with adverse effects, which may delay return-to-work. Single nucleotide polymorphisms (SNPs) may influence the risk and severity of treatment toxicities, which in turn could delay return-to-work. We examined the association of 26 SNPs with return-to-work in premenopausal women with breast cancer.
Methods
Using Danish registries, we identified premenopausal women diagnosed with non-distant metastatic breast cancer during 2007‒2011, assigned adjuvant combination chemotherapy including cyclophosphamide and docetaxel. We genotyped 26 SNPs in 20 genes (ABCB1, ABCC2, ABCG2, CYP1A1, CYP1B1, CYP3A, CYP3A4, CYP3A5, GSTP1, SLCO1B1, SLCO1B3, ARHGEF10, EPHA4, EPHA5, EPHA6, EPHA8, ERCC1, ERCC2, FGD4 and TRPV1) using TaqMan assays. We computed the cumulative incidence of return-to-work (defined as 4 consecutive weeks of work) up to 10 years after surgery, treating death and retirement as competing events and fitted cause-specific Cox regression models to estimate crude hazard ratios (HRs) and 95% confidence intervals (CIs) of return-to-work. We also examined stable labor market attachment (defined as 12 consecutive weeks of work).
Results
We included 1,964 women. No associations were found for 25 SNPs. The cumulative incidence of return-to-work varied by CYP3A5 rs776746 genotype. From 6 months to 10 years after surgery, return-to-work increased from 25 to 94% in wildtypes (n = 1600), from 17 to 94% in heterozygotes (n = 249), and from 7 to 82% in homozygotes (n = 15). The HR showed delayed return-to-work in CYP3A5 rs776746 homozygotes throughout follow-up (0.48, 95% CI 0.26, 0.86), compared with wildtypes. Estimates were similar for stable labor market attachment.
Conclusion
Overall, the SNPs examined in the study did not influence return-to-work or stable labor market attachment after breast cancer in premenopausal women. Our findings did suggest that the outcomes were delayed in homozygote carriers of CYP3A5 rs776746, though the number of homozygotes was low.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00280-022-04499-z.
Keywords: Single nucleotide polymorphisms, Taxane, Docetaxel, Breast neoplasms, Cohort study, Return-to-work
Introduction
Advances in breast cancer diagnosis and treatment have enlarged the pool of breast cancer survivors [1], emphasizing the need to better understand breast cancer survivorship. Return-to-work may be a marker of recovery and return to daily activities after concluding breast cancer treatment [2].
Up to 80% of women with breast cancer return-to-work during or after adjuvant treatment, but some may have delayed or may never return-to-work [3–5]. Return-to-work after breast cancer may be hindered by the type of work involved and by the working environment, but may also be affected by survivor well-being, health and functional impairment, societal factors, socioeconomic position, and family support [6, 7]. Research suggests that chemotherapy may impede return-to-work in breast cancer survivors, probably due to adverse effects during or after chemotherapy [5], this may be affected by socioeconomic position.
Premenopausal women receive taxane-based adjuvant chemotherapy as guideline treatment [8]. In the absence of their cancer, these women are likely to contribute substantial person-years to the workforce [9]. While improving survival [10], taxanes induce a number of potentially severe adverse effects [11–13]. Single nucleotide polymorphisms (SNPs) in genes related to taxane transport, drug metabolism, neural function/repair or DNA-repair mechanisms have been linked to increased risks of severe adverse effects, including chemotherapy-induced peripheral neuropathy [14–17]. Accordingly, such SNPs may be associated with slower recovery and delayed return to normal daily activities, including work. Tamoxifen treatment, given to premenopausal women with estrogen receptor (ER) positive tumors, may modify these associations [18]. Tamoxifen shares metabolizers and transporters with taxanes, and is associated with adverse effects [18, 19], which may also influence return-to-work.
No studies have explored whether SNPs connected to taxane effectiveness or adverse effects influence return-to-work after cancer. Therefore, we examined this in premenopausal breast cancer patients treated with taxane-based chemotherapy. Furthermore, we examined the mediating role of estrogen receptor (ER) status and indicators of socioeconomic position.
Materials and methods
Data sources
Denmark has a tax-supported population-wide health care system [20]. We linked individual-level electronic data from Danish administrative and medical registries with biological data using a unique ten-digit personal identifier assigned to all Danish residents at birth or immigration [21]. The Danish Breast Cancer Group (DBCG) registers all incident breast cancers, along with clinical information and follow-up data on recurrences and other malignancies [22]. The Danish National Pathology Registry [23] has routinely recorded information on all histopathological analyses and the whereabouts of associated formalin-fixed paraffin-embedded (FFPE) tissue blocks. The Cause of Death Registry records date of death along with underlying and contributory causes registered by the inspecting doctor [24]. In addition, we summarized comorbidities via the Charlson Comorbidity Index using diagnoses identified in the Danish National Patient Registry [25]. Information on childbirths after breast cancer diagnosis was collected from the Danish Medical Birth Registry [26]. Highest attained education level at date of breast cancer diagnosis was collected from the Danish Population’s Education Registry [27], household income from the Danish Income Statistics Registry [28], and cohabitation status from Danish Civil Registration System [20].
The Danish labor market model, also known as the flexicurity model, favors employers with flexible hiring and firing rules, while it safeguards employees with a generous social system and security net [29]. The Danish state provides substantial subsistence payments, unemployment benefits, and a range of social and health-related benefits. Since 1991, these payments have been registered on a weekly basis in the Danish Register for Evaluation of Marginalization (DREAM) [30]. During the study period (see below), the length of employer-paid sick leave ranged between 14 and 31 days; employer-paid sick leave is not registered in DREAM. Assuming breast cancer patients undergoing surgery and chemotherapy have longer periods of sick leave, DREAM can capture the length of absence from the labor market, and hence return-to-work.
Study cohort
Our study cohort was nested in the ProBe CaRe (Predictors of Breast Cancer Recurrence) cohort [31]. This cohort includes premenopausal women diagnosed with incident non-distant metastatic breast cancer in Denmark during 2002–2011 (n = 5959), registered in DBCG. We restricted to women who were diagnosed during 2007–2011, during which period most premenopausal breast cancer patients were recommended three cycles of epirubicin and cyclophosphamide every third week, followed by three cycles of docetaxel, while some received sequential docetaxel and cyclophosphamide [32]. We included the women who at diagnosis were aged ≤ 55 years, had chemotherapy as intended adjuvant treatment, and were employed any time during the 2 months before breast cancer primary surgery. We excluded women who were on maternity leave during the week of surgery (Supplemental Fig. S1). We expected all women to be not working at least 1 day during the week of surgery regardless of any payouts.
Tumor specimens and genotyping
Procedures for FFPE collection, tumor tissue procurement, and DNA extraction have been described previously [18]. We selected 26 candidate SNPs in 20 genes related to taxane transport (ABCB1, ABCC2, ABCG2, SLCO1B1, SLCO1B3), metabolism (CYP1A1, CYP1B1, CYP3A, CYP3A4, CYP3A5, GSTP1), DNA repair (ERCC1, ERCC2), and SNPs associated with neural function or repair (EPHA4, EPHA5, EPHA6, EPHA8, FGD4, ARHGEF10, TRVF1).
Seven SNPs were genotyped in a previous project [18] and nineteen SNPs were genotyped for this project using commercially available TaqMan assays on a StepOne Plus real-time instrument (Applied Biosystems, Thermo Fisher Scientific, Foster City, California, USA). Genotyping was performed using 2 µL genomic DNA (10 ng/µL) extracted from FFPE tissue, 5 µL TaqMan Genotyping Master Mix, and 0.5 µL TaqMan allelic discrimination assay (VIC- and FAM-labeled probes) in a final volume of 10 µL. Thermal cycling conditions were: 95 °C for 10 min followed by 50 cycles of 95 °C for 15-s, and 60 °C for 60-s. Genotype calling was performed using the QuantStudio Software V1.3 with automatic calling. After automatic calling genotype results were manually inspected, acceptance was overridden manually if irregular amplification curves were observed. We compared the observed genotype frequencies with those expected under Hardy–Weinberg equilibrium (HWE), and allele frequencies with those reported in European non-Finnish female populations reported in the Genome Aggregation Database (gnomAD) [33].
Outcomes
We assumed the women were working if they did not receive any social benefits, as done in other studies [30, 34–37]. We also included women receiving substituted unemployment benefits for part-time work or educational grants (see coding list, Supplemental Table S1). We defined return-to-work as 4 consecutive weeks of work. We examined stable labor market attachment defined as 12 consecutive weeks of work.
Covariates
Patient, tumor, and treatment characteristics included age group, comorbidities, education level, cohabitation/marital status, household income, ER status combined with endocrine therapy, double/triple negative tumors, TNM stage [38], grade (in ductal and lobular tumors), surgery type, and intended radiotherapy. Detailed categorizations of the covariates are listed in Supplemental Tables S1 and S2.
Statistical analyses
We examined the cumulative incidence of return-to-work and stable labor market attachment using the Nelson–Aalen estimator, treating death and retirements as competing risks [39]. To examine time to return-to-work and stable labor market attachment, we fitted cause-specific Cox regression models to calculate crude hazard ratios (HRs) and associated 95% confidence intervals (CIs) of return-to-work and stable labor market attachment by genotypes within time periods all counting from day of surgery. Follow-up continued until return-to-work or stable labor market attachment or until maternity leave, childbirth, recurrence, death, emigration, other malignancies, early or normal retirement, or 25th September 2017. All statistical analyses were conducted using SAS software (Cary, NC).
Additional analyses
We examined effect-measure modification stratifying the univariate models by ER/endocrine therapy status, income, education level and cohabitation/marital status. We performed several sensitivity analyses by alternative pre-surgery employment criteria: narrowing the assessment window to 4 weeks pre-surgery and applying a stricter criterium of at least 4 weeks of employment up to 2 months before surgery. Breast cancer survivors with physical or psychological sequelae may qualify for a flexible job schedule [40]. We, therefore, reran analyses including flexible job schedules in the return-to-work outcome. As suggested by others [41], we stratified our assessment of CYP3A4 by CYP3A5 genotype, considering any variant carriers versus wildtype.
Results
The ProBe CaRe cohort included a total of 5,959 premenopausal women. After exclusions, our final analytic cohort consisted of 1,964 women (Supplemental Fig. 1). The majority were aged 45–55 years (57%, median age: 46, interquartile range 41–49), had no diagnosed comorbidities (89%), were cohabiting (79%), were educated at intermediate level (48%), and belonged to the high-income group (63%). Most tumors were ER + (79%), stage II (57%), and 11% were TNBC (Table 1).
Table 1.
Patient, tumor, and treatment characteristics of premenopausal women diagnosed with non-distant metastatic breast cancer in Denmark during 2007–2011 assigned taxane-based chemotherapy
Median | IQR | |
---|---|---|
Age at diagnosis | 46 | 41–49 |
N | % | |
---|---|---|
Age group at diagnosis | ||
< 35 | 129 | 7 |
35–44 | 724 | 37 |
45–55 | 1111 | 57 |
ER status | ||
ER– | 422 | 21 |
ER + | 1542 | 79 |
HER2 status | ||
Negative | 1461 | 74 |
Positive | 365 | 19 |
Not tested | 138 | 7 |
Triple negative breast cancer | ||
No | 1671 | 85 |
Yes | 214 | 11 |
Not tested | 79 | 4 |
TNM stage | ||
Stage I | 502 | 26 |
Stage II | 1127 | 57 |
Stage III | 323 | 16 |
Missing | 12 | 1 |
Histological grade | ||
Grade 1 | 292 | 15 |
Grade 2 | 831 | 42 |
Grade 3 | 643 | 33 |
Not graded | 176 | 9 |
Missing | 22 | 1 |
Comorbidity | ||
None | 1741 | 89 |
1–2 | 166 | 8 |
3 or more | 57 | 3 |
Surgery type | ||
Mastectomy | 744 | 38 |
Lumbectomy incl. ITT Radiotherapy | < = 1225 | |
Missing | < 5 | |
Cohabitation/marital status | ||
Cohabiting/married | 1542 | 79 |
Living alone | 409 | 21 |
Missing | 13 | 1 |
Income | ||
< Median | 712 | 36 |
≥ Median | 1247 | 63 |
Missing | 5 | 0 |
Educational level | ||
Short | 258 | 13 |
Intermediate | 951 | 48 |
Long | 735 | 37 |
Missing | 20 | 1 |
ER estrogen receptor, HER2 human epidermal growth factor receptor 2, IQR interquartile range, ITT intention-to-treat, TNM tumor node metastasis
We included 21 SNPs in the analyses, 5 SNPs were excluded due to call rates of below 95% (ABCB1 rs10248420, CYP1A1 rs1048943, TRPV1 rs879207, ARHGEF10 rs9657362, and EPHA8 rs209709). Detailed genotyping information can be found in Supplemental Table S3.
Figure 1 shows the cumulative incidences of return-to-work and stable labor market attachment, respectively, of 18% and 12% 6 months after breast cancer diagnosis, 53% and 35% 1 year after, 87% and 80% 2 years after, and 94% and 93% 10 years after.
Fig. 1.
Cumulative incidence of return-to-work and stable labor market attachment
The cumulative incidence of return-to-work was lower in CYP3A5 rs776746 homozygotes (n = 15) than seen in wildtypes (n = 1600) and heterozygotes (n = 249). Illustrated in Fig. 2A, the cumulative incidence of return-to-work in wildtypes increased from 25% at 6 months to 94% at 10 years, in heterozygotes from 17 to 94%, and in homozygotes from 7% at 6 months and 82% at 10 years. We observed a similar delay in the cumulative incidence of stable labor market attachment among homozygotes (Fig. 2B).
Fig. 2.
Cumulative incidence of return-to-work (A) and stable labor market attachment (B) by CYP3A5 genotype. Curves were smoothed using loess function. The shaded bands represent associated 95% confidence intervals
HRs showed delayed return-to-work and stable labor market attachment in CYP3A5 rs776746 homozygotes compared with wildtypes throughout follow-up (Fig. 3) of approximately 50% (10-year HRs: 0.48, 95% CI 0.27–0.87 and 0.49, 95% CI 0.27–0.88, respectively).
Fig. 3.
Hazard ratios with 95% CI of return-to-work (A) and stable labor market attachment (B) in CYP3A5 rs776746 heterozygotes and homozygotes, compared with wildtypes
We observed associations for other SNPs (see Supplemental Table S4), but these had limited numbers of homozygotes, and inconsistencies between cumulative incidence curves and HRs suggesting these were probably chance findings.
Although based on small strata, we observed no effect-measure modification by ER status or socioeconomic position. In the analyses factoring in flexible job schedules, the cumulative incidence of return-to-work reached 97%, but relative estimates were similar in all sensitivity analyses.
Discussion
In this study, premenopausal women had a high cumulative incidence of return-to-work and stable labor market attachment, reaching 94% and 93% at 10 years after treatment for early breast cancer. These levels were reached already within 3–4 years. Homozygote carriers of CYP3A5 rs776746 had delayed return-to-work and stable labor market attachment, compared with wildtypes.
Our overall assessment of return-to-work extends previous research. Arndt et al. [4] studied the cumulative incidence of return-to-work among 1,070 women with breast cancer living in Germany. Compared with our findings, they reported a slightly lower 10-year cumulative incidence of 85%, presumably due to their older study cohort including postmenopausal breast cancer survivors. Their study was prone to selection bias as they only included 5-year survivors, and therefore could have overestimated return-to-work as women dying within 5 years after surgery were then excluded. However, the higher incidence of return-to-work in our study may reflect long work life expectancy in premenopausal women and successful rehabilitation.
We investigated genes that theoretically could influence treatment effectiveness/adverse effects or that previously had been associated with such. The lack of association of the SNPs with return-to-work is encouraging for patients and contrasts with some other studies. Kus et al. [17] investigated 219 Turkish breast cancer patients and found that the CYP3A4 rs2740574 variant allele was associated with lower risk of neuropathy, especially for chemotherapy-induced peripheral neuropathies that interfered with activities of daily living. We note that our HRs for CYP3A4 rs2740574 were somewhat consistent with increased return-to-work, but increased return-to-work was not evident in our cumulative incidence curves. Furthermore, the Turkish study had a substantially higher frequency of CYP3A4 rs2740574 homozygotes of 42% compared with less than 1% in our Danish cohort. A study by Eckhoff et al. [16] of 150 Danish early stage breast cancer patients, and thus similar allele frequencies to our population, found that GSTP1 rs1138272 variant carriers had increased risk of chemotherapy-induced peripheral neuropathy during docetaxel treatment, also when examining neuropathies graded ≥ 2 [5]. Still, we found no evidence of an influence of GSTP1 on return-to-work.
Our findings of delayed return-to-work in CYP3A5 rs776746 homozygote women may indicate poorer recovery compared with their wildtype counterparts. CYP3A5 is a phase 1 enzyme involved in the metabolism of docetaxel in the liver. CYP3A5 rs776746 is highly polymorphic and can cause splicing defects of mRNA. Most Caucasians are CYP3A5 non-expressors (wildtypes), while heterozygotes and homozygotes are CYP3A5 expressors [41]. As such, expressors could be expected to have higher drug clearance. This has been found in one study including Caucasian cancer patients (27% of whom had breast cancer) treated with docetaxel [41]. The CYP3A5 non-expressing variant has been associated with reduced risk of neurotoxicity during treatment in 118 Spanish cancer patients (1/3 breast cancer) treated with paclitaxel [42], corresponding to an increased risk in expressors. Although the Spanish study did not examine long-term adverse effects, these findings could potentially explain our observed delayed return-to-work in CYP3A5 expressors in our study. Studies on chemotherapy-induced peripheral neuropathy in taxanes suggest that the symptoms during therapy resolve or diminish after the end of treatment [43, 44]. Still, some symptoms may persist [43]. Our findings may indicate longer term adverse effects in CYP3A5 rs776746 homozygotes. Nonetheless, only 15 women in our cohort were homozygotes for CYP3A5 rs776746; therefore, our findings may also be attributable to chance.
The major strength of our population-based study was the nationwide genotyping of premenopausal breast cancer survivors, and the linkage to validated clinical and individual data with high completeness [20, 27, 30, 45–47]. We incorporated several quality-control measures to ensure high-quality SNP data. We did not only rely on Hardy–Weinberg disequilibrium, as this can be influenced by sample size [48, 49]. Instead, we inspected (and present) congruence between observed and expected frequencies. We excluded SNPs with call rates < 95% and with overlapping genotype clusters. DNA was derived from FFPE tumor-infiltrated tissue, which previously has been proven suitable for studies of breast cancer prognosis [50]. Moreover, studies report high genotype concordance between FFPE breast tumors and both FFPE normal lymph nodes [51, 52] and plasma [51].
Some limitations must be considered. We had no information on adverse effects and individual information on administered chemotherapy, including docetaxel plasma concentrations or cumulative dose. Adverse effects are poorly registered in Danish health registries, and chemotherapy dose capping could have been associated with treatment toxicity. Information on treatment toxicity and later adverse effects could have substantiated our interpretation but are unlikely to confound our estimates. None of the women in our study were intended to receive docetaxel monotherapy. Our findings could, therefore, be influenced by interaction as CYP3A5 is also involved in cyclophosphamide metabolism [53].
Despite high validity of social benefit payments registered in DREAM [30, 47], this database has its limitations. Our outcomes relied on the assumption that no evidence of a payment record was equivalent to employment. Validated against self-reporting, self-supportiveness (defined by no DREAM entry, student grant, leave-of-absence schemes including maternity leave) has a positive predictive value of 98% [30]. However, this may not always indicate employment as withdrawal from the work force could be supported by savings or spouse earnings. A Danish study examining income changes after breast cancer found that those married had a lower income up to 9 years after diagnosis, while this was 6 years for those who were single [54]. This suggests that married breast cancer survivors are supported economically by their spouse.
In a study examining return-to-work after maternity leave, we validated employment (defined as no payment, or vacation from employment payouts) against records of salary payments and found an agreement of 94% (unpublished). It is likely that some women choose not to return-to-work and also avoid the bureaucracy associated with registering for social benefit payments from the public sector. In that case, we may have overestimated the cumulative incidence of return-to-work.
Our study provides novel insights that argue for more research on the impact of CYP3A5 rs776746 on recovery in women treated with taxanes and cyclophosphamide. Such research could help identify women at risk of poor recovery after taxane-based chemotherapy. As we only examined the associations of single SNPs, future studies should include Bayesian pathway analysis considering the entire complex metabolic pathway of docetaxel [18, 55].
Conclusion
In this population-based cohort of premenopausal breast cancer survivors with non-distant metastatic breast cancer, homozygous carriers of CYP3A5 rs776746 had delayed return-to-work and stable labor market attachment after breast cancer. These associations—and their underlying mechanisms—need to be investigated further. Still, if validated elsewhere, these findings may indicate the utility of CYP3A5 rs776746 to identify women at risk of a poor clinical course, who may benefit from enhanced supportive care during treatment and follow-up.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
We thank the DBCG for providing us clinical data. We also thank all laboratory personnel who assisted with tumor tissue procurement, DNA extraction and genotyping, and the biostatisticians Anders Kjærsgaard and Dóra Körmendiné Farkas supporting the data management and statistical analyses.
Author contributions
CFH: conceptualization, methodology, formal analysis, investigation, writing—original draft, visualization, funding acquisition, project administration. PD: conceptualization, resources, investigation, data curation, supervision, methodology, writing—review and editing. TBS: conceptualization, supervision, methodology, writing—review and editing. SF: resources, data curation, software, writing—review and editing. SHD: data curation, resources, investigation, writing—review and editing. BE: resources, supervision, writing—review and editing. HB: supervision, writing—review and editing. TLL: conceptualization, supervision, investigation, funding acquisition, writing—review and editing. HTS: investigation, resources, writing—review and editing. DCF: conceptualization, supervision, data curation, methodology, investigation, writing—original draft, writing—review and editing, funding acquisition, project administration.
Funding
This work was supported by grants from the Danish Cancer Society (R167–A11045–17–S2 to DCF); Aarhus University (CFH); the Danish Cancer Research Foundation (FID1839672 to CFH); the Lundbeck Foundation (R167–2013–15861 to DCF) and the Novo Nordisk Foundation (NNF19OC0058710 to DCF). The ProBe CaRe cohort infrastructure was supported by the US National Cancer Institute (R01CA166825 to TLL). The funders had no role in the design, conduct or publication of the present study.
Data availability statement
The dataset generated and analyzed during the current study are not publicly available due to Danish legislations but are available from the corresponding author and Statistics Denmark on reasonable request and permissions from the below mentioned third parties. All the data used for the current study are stored at Statistics Denmark. Researchers can apply to Statistics Denmark for data access, conditional on obtained permissions from the DBCG, the Danish Health Authorities, the Danish Data Protection Agency, and the Central Jutland Region Committee on Health Research Ethics.
Declarations
Conflict of interest
All authors declare no support in relation to the present study. TBS receives consultancy fees from Pfizer and teaching fees from Orifarm, Eisai, Novartis, and Astellas Pharma. TLL receives consulting fees and travel support for his participation in the Amgen Methods Advisory Council. BE receives institutional grants from AstraZeneca, Eli Lilly, Merck Sharpe & Dohme, Novartis, Pfizer, Roche, and Samsung Bioepis. The Department of Clinical Epidemiology, Aarhus University Hospital, receives funding for other studies from European Medicines Agency and from companies in the form of research grants to (and administered by) Aarhus University.
Ethical approval
The Danish Data Protection Agency (AU 2016-051-000001, #808), the Regional Ethics Committee (Record no. 1-10-72-4-18) and the Danish Breast Cancer Group (DBCG) (DBCG-2018-01-04) approved the study. The use of registry-based data for scientific studies in Denmark requires no consent from the participants.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.International Agency for Research on Cancer (2020) Latest global cancer data: Cancer burden rises to 19.3 million new cases. Press release N° 292. World Health Organization
- 2.Lundh MH, Lampic C, Nordin K, Ahlgren J, Bergkvist L, Lambe M, et al. Changes in health-related quality of life by occupational status among women diagnosed with breast cancer—a population-based cohort study. Psychooncology. 2013;22:2321–2331. doi: 10.1002/pon.3285. [DOI] [PubMed] [Google Scholar]
- 3.Cocchiara RA, Sciarra I, D’Egidio V, Sestili C, Mancino M, Backhaus I, et al. Returning to work after breast cancer: a systematic review of reviews. Work. 2018;61:463–476. doi: 10.3233/WOR-182810. [DOI] [PubMed] [Google Scholar]
- 4.Arndt V, Koch-Gallenkamp L, Bertram H, Eberle A, Holleczek B, Pritzkuleit R, et al. Return to work after cancer. A multi-regional population-based study from Germany. Acta Oncol Stockh Swed. 2019;58:811–818. doi: 10.1080/0284186X.2018.1557341. [DOI] [PubMed] [Google Scholar]
- 5.Islam T, Dahlui M, Majid HA, Nahar AM, Mohd Taib NA, Su TT. Factors associated with return to work of breast cancer survivors: a systematic review. BMC Public Health. 2014;14:S8. doi: 10.1186/1471-2458-14-S3-S8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Sun W, Chen K, Terhaar A, Wiegmann DA, Heidrich SM, Tevaarwerk AJ, et al. Work-related barriers, facilitators, and strategies of breast cancer survivors working during curative treatment. Work Read Mass. 2016;55:783–795. doi: 10.3233/WOR-162449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Bijker R, Duijts SFA, Smith SN, de Wildt-Liesveld R, Anema JR, Regeer BJ. Functional impairments and work-related outcomes in breast cancer survivors: a systematic review. J Occup Rehabil. 2018;28:429–451. doi: 10.1007/s10926-017-9736-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gradishar WJ, Anderson BO, Abraham J, Aft R, Allison KH, Blair SL et al (2018) Breast Cancer, Version 2.2018, NCCN Clinical Practice Guidelines in Oncology. https://www.nccn.org/professionals/physician_gls/pdf/breast.pdf. Accessed 9 Oct 2018
- 9.de Boer AGEM. The European Cancer and Work Network: CANWON. J Occup Rehabil. 2014;24:393–398. doi: 10.1007/s10926-013-9474-5. [DOI] [PubMed] [Google Scholar]
- 10.Watanabe T, Kuranami M, Inoue K, Masuda N, Aogi K, Ohno S, et al. Comparison of an AC-taxane versus AC-free regimen and paclitaxel versus docetaxel in patients with lymph node-positive breast cancer: final results of the National Surgical Adjuvant Study of Breast Cancer 02 trial, a randomized comparative phase 3 study. Cancer. 2017;123:759–768. doi: 10.1002/cncr.30421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ewertz M, Qvortrup C, Eckhoff L. Chemotherapy-induced peripheral neuropathy in patients treated with taxanes and platinum derivatives. Acta Oncol Stockh Swed. 2015;54:587–591. doi: 10.3109/0284186X.2014.995775. [DOI] [PubMed] [Google Scholar]
- 12.Lee JJ, Swain SM. Peripheral neuropathy induced by microtubule-stabilizing agents. J Clin Oncol. 2006;24:1633–1642. doi: 10.1200/JCO.2005.04.0543. [DOI] [PubMed] [Google Scholar]
- 13.Eckhoff L, Nielsen M, Moeller S, Knoop A. TAXTOX—a retrospective study regarding the side effects of docetaxel given as part of the adjuvant treatment to patients with primary breast cancer in Denmark from 2007 to 2009. Acta Oncol Stockh Swed. 2011;50:1075–1082. doi: 10.3109/0284186X.2011.602111. [DOI] [PubMed] [Google Scholar]
- 14.Baldwin RM, Owzar K, Zembutsu H, Chhibber A, Kubo M, Jiang C, et al. A genome-wide association study identifies novel loci for paclitaxel-induced sensory peripheral neuropathy in CALGB 40101. Clin Cancer Res. 2012;18:5099–5109. doi: 10.1158/1078-0432.CCR-12-1590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Boora GK, Kulkarni AA, Kanwar R, Beyerlein P, Qin R, Banck MS, et al. Association of the Charcot–Marie–Tooth disease gene ARHGEF10 with paclitaxel induced peripheral neuropathy in NCCTG N08CA (Alliance) J Neurol Sci. 2015;357:35–40. doi: 10.1016/j.jns.2015.06.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Eckhoff L, Feddersen S, Knoop AS, Ewertz M, Bergmann TK. Docetaxel-induced neuropathy: a pharmacogenetic case-control study of 150 women with early-stage breast cancer. Acta Oncol Stockh Swed. 2015;54:530–537. doi: 10.3109/0284186X.2014.969846. [DOI] [PubMed] [Google Scholar]
- 17.Kus T, Aktas G, Kalender ME, Demiryurek AT, Ulasli M, Oztuzcu S, et al. Polymorphism of CYP3A4 and ABCB1 genes increase the risk of neuropathy in breast cancer patients treated with paclitaxel and docetaxel. OncoTargets Ther. 2016;9:5073–5080. doi: 10.2147/OTT.S106574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ahern TP, Collin LJ, Baurley JW, Kjærsgaard A, Nash R, Maliniak ML, et al. Metabolic pathway analysis and effectiveness of tamoxifen in Danish breast cancer patients. Cancer Epidemiol Biomark Prev Publ Am Assoc Cancer Res Cosponsored Am Soc Prev Oncol. 2020;29:582–590. doi: 10.1158/1055-9965.EPI-19-0833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Howell A. ATAC trial update. Lancet. 2005;365:1225–1226. [Google Scholar]
- 20.Schmidt M, Schmidt SAJ, Adelborg K, Sundbøll J, Laugesen K, Ehrenstein V, et al. The Danish health care system and epidemiological research: from health care contacts to database records. Clin Epidemiol. 2019;11:563–591. doi: 10.2147/CLEP.S179083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Schmidt M, Pedersen L, Sørensen HT. The Danish Civil Registration System as a tool in epidemiology. Eur J Epidemiol. 2014;29:541–549. doi: 10.1007/s10654-014-9930-3. [DOI] [PubMed] [Google Scholar]
- 22.Jensen M-B, Laenkholm A-V, Offersen BV, Christiansen P, Kroman N, Mouridsen HT, et al. The clinical database and implementation of treatment guidelines by the Danish Breast Cancer Cooperative Group in 2007–2016. Acta Oncol. 2018;57:13–18. doi: 10.1080/0284186X.2017.1404638. [DOI] [PubMed] [Google Scholar]
- 23.Erichsen R, Lash TL, Hamilton-Dutoit SJ, Bjerregaard B, Vyberg M, Pedersen L. Existing data sources for clinical epidemiology: the Danish National Pathology Registry and Data Bank. Clin Epidemiol. 2010;2:51–56. doi: 10.2147/clep.s9908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Helweg-Larsen K. The Danish Register of causes of death. Scand J Public Health. 2011;39(7 Suppl):26–29. doi: 10.1177/1403494811399958. [DOI] [PubMed] [Google Scholar]
- 25.Schmidt M, Schmidt SAJ, Sandegaard JL, Ehrenstein V, Pedersen L, Sørensen HT. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015;7:449–490. doi: 10.2147/CLEP.S91125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Bliddal M, Broe A, Pottegård A, Olsen J, Langhoff-Roos J. The Danish medical birth register. Eur J Epidemiol. 2018;33:27–36. doi: 10.1007/s10654-018-0356-1. [DOI] [PubMed] [Google Scholar]
- 27.Jensen VM, Rasmussen AW. Danish education registers. Scand J Public Health. 2011;39(7 Suppl):91–94. doi: 10.1177/1403494810394715. [DOI] [PubMed] [Google Scholar]
- 28.Baadsgaard M, Quitzau J. Danish registers on personal income and transfer payments. Scand J Public Health. 2011;39(7_suppl):103–105. doi: 10.1177/1403494811405098. [DOI] [PubMed] [Google Scholar]
- 29.Andersen TM, Svarer M. Flexicurity—labour market performance in Denmark*. CESifo Econ Stud. 2007;53:389–429. [Google Scholar]
- 30.Hjollund NH, Larsen FB, Andersen JH. Register-based follow-up of social benefits and other transfer payments: accuracy and degree of completeness in a Danish interdepartmental administrative database compared with a population-based survey. Scand J Public Health. 2007;35:497–502. doi: 10.1080/14034940701271882. [DOI] [PubMed] [Google Scholar]
- 31.Collin LJ, Cronin-Fenton DP, Ahern TP, Christiansen PM, Damkier P, Ejlertsen B, et al. Cohort Profile: the Predictors of Breast Cancer Recurrence (ProBe CaRE) Premenopausal Breast Cancer Cohort Study in Denmark. BMJ Open. 2018 doi: 10.1136/bmjopen-2018-021805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ejlertsen B, Tuxen MK, Jakobsen EH, Jensen M-B, Knoop AS, Højris I, et al. Adjuvant cyclophosphamide and docetaxel with or without epirubicin for early TOP2A-normal breast cancer: DBCG 07-READ, an open-label, phase III, randomized trial. J Clin Oncol. 2017;35:2639–2646. doi: 10.1200/JCO.2017.72.3494. [DOI] [PubMed] [Google Scholar]
- 33.Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581:434–443. doi: 10.1038/s41586-020-2308-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rasmus R, Chih W, Kristian K, Fosbøl EL, Mogensen UM, Lamberts M, et al. Return to the workforce after first hospitalization for heart failure. Circulation. 2016;134:999–1009. doi: 10.1161/CIRCULATIONAHA.116.021859. [DOI] [PubMed] [Google Scholar]
- 35.Kristian K, Mads W, Normark MR, Kirsten F, Eggert JS, Shahzleen R, et al. Return to work in out-of-hospital cardiac arrest survivors. Circulation. 2015;131:1682–1690. doi: 10.1161/CIRCULATIONAHA.114.011366. [DOI] [PubMed] [Google Scholar]
- 36.Evers PD, Farkas DK, Hjorth CF, Khoury M, Olsen M, Madsen NL. Return to work following adverse cardiovascular events in adults with congenital heart disease. Int J Cardiol Congenit Heart Dis. 2021;4:100160. [Google Scholar]
- 37.Biering K, Hjøllund NH, Lund T. Methods in measuring return to work: a comparison of measures of return to work following treatment of coronary heart disease. J Occup Rehabil. 2013;23:400–405. doi: 10.1007/s10926-012-9405-x. [DOI] [PubMed] [Google Scholar]
- 38.Amin MB, American Joint Committee on Cancer, American Cancer Society, editors (2017) AJCC cancer staging manual. Eight edition / editor-in-chief, Mahul B. Amin, MD, FCAP ; editors, Stephen B. Edge, MD, FACS [and 16 others] ; Donna M. Gress, RHIT, CTR-Technical editor ; Laura R. Meyer, CAPM-Managing editor. American Joint Committee on Cancer, Springer, Chicago
- 39.Rothman KJ, Lash T, Greenland S (2012) Modern Epidemiology. Third edition. Philadelphia Baltimore New York London Buenos Aires Hong Kong Sydney Tokyo: LWW
- 40.Kollerup A, Ladenburg J, Heinesen E, Kolodziejczyk C. The importance of workplace accommodation for cancer survivors—the role of flexible work schedules and psychological help in returning to work. Econ Hum Biol. 2021;43:101057. doi: 10.1016/j.ehb.2021.101057. [DOI] [PubMed] [Google Scholar]
- 41.Baker SD, Verweij J, Cusatis GA, van Schaik R, Marsh S, Orwick SJ, et al. Pharmacogenetic pathway analysis of docetaxel elimination. Clin Pharmacol Ther. 2009;85:155–163. doi: 10.1038/clpt.2008.95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Leskelä S, Jara C, Leandro-García LJ, Martínez A, García-Donas J, Hernando S, et al. Polymorphisms in cytochromes P450 2C8 and 3A5 are associated with paclitaxel neurotoxicity. Pharmacogenomics J. 2011;11:121–129. doi: 10.1038/tpj.2010.13. [DOI] [PubMed] [Google Scholar]
- 43.Eckhoff L, Knoop A, Jensen MB, Ewertz M. Persistence of docetaxel-induced neuropathy and impact on quality of life among breast cancer survivors. Eur J Cancer Oxf Engl. 1990;2015(51):292–300. doi: 10.1016/j.ejca.2014.11.024. [DOI] [PubMed] [Google Scholar]
- 44.Argyriou AA, Polychronopoulos P, Iconomou G, Koutras A, Kalofonos HP, Chroni E. Paclitaxel plus carboplatin–induced peripheral neuropathy: a prospective clinical and electrophysiological study in patients suffering from solid malignancies. J Neurol. 2005;252:1459–1464. doi: 10.1007/s00415-005-0887-8. [DOI] [PubMed] [Google Scholar]
- 45.Cronin-Fenton DP, Kjærsgaard A, Ahern TP, Mele M, Ewertz M, Hamilton-Dutoit S, et al. Validity of Danish Breast Cancer Group (DBCG) registry data used in the predictors of breast cancer recurrence (ProBeCaRe) premenopausal breast cancer cohort study. Acta Oncol. 2017;56:1155–1160. doi: 10.1080/0284186X.2017.1327720. [DOI] [PubMed] [Google Scholar]
- 46.Jensen AR, Storm HH, Møller S, Overgaard J. Validity and representativity in the Danish Breast Cancer Cooperative Group—a study on protocol allocation and data validity from one county to a multi-centre database. Acta Oncol Stockh Swed. 2003;42:179–185. doi: 10.1080/02841860310000737. [DOI] [PubMed] [Google Scholar]
- 47.Stapelfeldt CM, Jensen C, Andersen NT, Fleten N, Nielsen CV. Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality. BMC Public Health. 2012;12:661. doi: 10.1186/1471-2458-12-661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Salanti G, Amountza G, Ntzani EE, Ioannidis JPA. Hardy-Weinberg equilibrium in genetic association studies: an empirical evaluation of reporting, deviations, and power. Eur J Hum Genet EJHG. 2005;13:840–848. doi: 10.1038/sj.ejhg.5201410. [DOI] [PubMed] [Google Scholar]
- 49.Minelli C, Thompson JR, Abrams KR, Thakkinstian A, Attia J. How should we use information about HWE in the meta-analyses of genetic association studies? Int J Epidemiol. 2008;37:136–146. doi: 10.1093/ije/dym234. [DOI] [PubMed] [Google Scholar]
- 50.Hertz DL, Kidwell KM, Thibert JN, Gersch CL, Regan MM, Skaar TC, et al. Comparison of genotyping performance in DNA extracted from matched FFPE tumor, FFPE lymph node, and whole blood for pharmacogenetic analyses. J Clin Oncol. 2015;33(15_suppl):1528–1528. doi: 10.1016/j.molonc.2015.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Hertz DL, Kidwell KM, Thibert JN, Gersch C, Regan MM, Skaar TC, et al. Genotyping concordance in DNA extracted from formalin-fixed paraffin embedded (FFPE) breast tumor and whole blood for pharmacogenetic analyses. Mol Oncol. 2015;9:1868–1876. doi: 10.1016/j.molonc.2015.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Ahern TP, Christensen M, Cronin-Fenton DP, Lunetta KL, Rosenberg CL, Sørensen HT, et al. Concordance of metabolic enzyme genotypes assayed from paraffin-embedded, formalin-fixed breast tumors and normal lymphatic tissue. Clin Epidemiol. 2010;2:241–246. doi: 10.2147/CLEP.S13811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Cyclophosphamide Pathway, Pharmacokinetics. PharmGKB. https://www.pharmgkb.org/pathway/PA2034. Accessed 12 Nov 2021
- 54.Jensen L, Overgaard C, Bøggild H, Garne JP, Lund T, Overvad K, et al. The Long-term financial consequences of breast cancer: a Danish registry-based cohort study Laura Jensen. Eur J Public Health. 2017 doi: 10.1093/eurpub/ckx187.690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Baurley JW, Kjærsgaard A, Zwick ME, Cronin-Fenton DP, Collin LJ, Damkier P, et al. Bayesian pathway analysis for complex interactions. Am J Epidemiol. 2020;189:1610–1622. doi: 10.1093/aje/kwaa130. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The dataset generated and analyzed during the current study are not publicly available due to Danish legislations but are available from the corresponding author and Statistics Denmark on reasonable request and permissions from the below mentioned third parties. All the data used for the current study are stored at Statistics Denmark. Researchers can apply to Statistics Denmark for data access, conditional on obtained permissions from the DBCG, the Danish Health Authorities, the Danish Data Protection Agency, and the Central Jutland Region Committee on Health Research Ethics.