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Health-related quality of life and work productivity in UK patients with HER2-positive breast cancer: a cross-sectional study evaluating the relationships between disease and treatment stage

Health and Quality of Life Outcomes volume 18, Article number: 353 (2020) Cite this article

Abstract

Background

The impact of different disease stages and treatment for human epidermal growth factor 2 positive (HER2-positive) breast cancer (BC) on work productivity and health-related quality of life (HRQoL) is poorly understood.

Methods

This was a UK cross-sectional study of 299 adult patients with HER2-positive early or metastatic BC (NCT03099200). Productivity was assessed using the work productivity and activity impairment scale; HRQoL was measured using EuroQol-5 Dimensions-5 levels (EQ-5D-5L), and Functional Assessment of Cancer Therapy Breast (FACT-G and -B) instruments. Three balanced patient groups were recruited: (1) early BC on treatment post-surgery, (2) early BC after completion of adjuvant treatment, (3) during metastatic BC treatment. Between-group comparisons were performed using an analysis of variance.

Results

Group 1 comprised 89 patients, Group 2, 108 and Group 3, 102. Age, ethnicity and comorbidities were similar across groups. Patients in Group 3 reported more often being unable to work (significant Bonferroni adjusted p < 0.003). Proportions of employed patients were 50.6%, 50.9% and 27.5% in Groups 1, 2 and 3, respectively. For patients in part-time employment, the number of hours worked was significantly higher in Group 2 patients versus Group 3 (p = 0.002). Group 2 also had significantly lower levels of work absenteeism and overall work impairment compared with Group 1 (p < 0.001). Patients in Group 3 reported worse health utility scores (p ≤ 0.002), moderate or worse problems in the EQ-5D-5L self-care and usual activity domains (p ≤ 0.001), and lower HRQoL as assessed by FACT summary scores (p < 0.001 for FACT-B and -G) than Groups 1 and 2. Poorer HRQoL was significantly associated with higher work impairment (p < 0.001), with the strongest relationships being observed between activity impairment and HRQoL (Pearson’s r: 0.67).

Conclusions

Metastatic disease and treatment of HER2-positive BC adversely impacted on work productivity and HRQoL. The results of this study support the idea that being able to delay or prevent the metastatic recurrence of BC, for example by extending the time patients are in remission or at early stage of BC, has wider benefits in terms of patient productivity and HRQoL.

Introduction

Breast cancer (BC) is the most common form of cancer in the UK, with over 50,000 new cases diagnosed each year [1]. Mortality rates for patients with BC have fallen by approximately 40% in the UK since the 1980s, and almost 80% of women diagnosed in England and Wales now survive the disease for 10 years or more owing to advances in screening, diagnosis and treatment [2].

Human epidermal growth factor 2 (HER2) is a protein that stimulates normal breast cell division and growth. However, in 20–25% of BCs, known as HER2-positive BCs, the cancer cells express greater numbers of HER2 receptors [3] and HER2-positive breast cancers tend to grow more quickly and are more likely to recur and metastasise than HER2-negative breast cancers [3]. Furthermore, there is a significant association between HER2 over-expression and poor prognosis, with decreased disease-free survival and overall survival in node-positive patients [4].

Treatment of early BC typically aims to cure, with combinations of surgery and chemotherapy, radiotherapy, and targeted or hormonal therapy where indicated. Following completion of treatment, patients are considered to be in ‘remission’ and begin to resume normal life, with around 70% remaining free of their disease after 10 years [5]. In contrast, treatment of metastatic BC aims to extend life, while maintaining health-related quality of life (HRQoL), typically comprising sequential lines of chemotherapy, which for HER2-positive patients is combined with ongoing HER2-targeted therapy [6].

Improvements that lead to earlier diagnosis or more effective treatment are likely to increase the proportion of patients achieving and maintaining remission, whilst decreasing the proportion of patients with metastatic BC. This will intuitively result in direct patient benefits in terms of better HRQoL and ability to perform work and non-work related activities, with indirect economic benefits for society.

The clinical progression of patients with HER2-positive BC diagnosed with early or metastatic disease has been well characterised in clinical trials and real-world studies [7, 8]. In recent years significant progress has been made in the treatment of this aggressive subtype of BC, specifically with the approval of HER2-targetted agents in the both the early and metastatic settings. These treatment advances have impacted the natural history of the disease and added years to a patient’s prognosis in both the early and metastatic settings [9,10,11]. However, evidence on the broader implications of the different stages of BC treatment specifically in patients who are HER2-positive, including on patients’ ability to work, their usual activities and HRQoL in general, remains limited for the UK. Published estimates of work productivity in patients with BC have been heterogeneous across studies. A study in US patients with metastatic BC observed a 20–40% reported decrease in work productivity [2]; whilst in a study in Swedish and Dutch patients with early or advanced BC, work productivity reductions were approximately 70% for patients on treatment and 40% for patients who had completed treatment [12]. Studies have also shown a poorer rating on several dimensions of HRQoL, which remain in some patients 5–10 years after diagnosis [13, 14]; although some aspects such as emotional wellbeing and depression were not affected in most patients [13], even in those at advanced stage of BC and currently on treatment [14].

This real-world study (clinicaltrials.gov identifier: NCT03099200) aimed to assess how living in each stage of HER2-positive BC treatment (patients with early BC currently receiving adjuvant treatment; patients with early BC who have completed adjuvant parenteral therapy; and patients with metastatic BC) impacts directly on patients’ HRQoL and productivity, and indirectly on society in terms of cost of lost productivity, to help quantify the wider benefit of developing new interventions which delay or prevent the metastatic recurrence of BC.

Methods

Sample recruitment

This was a cross-sectional, observational study conducted between December 2016 and March 2017. Patients were recruited to attain relatively balanced groups in terms of sample size (planned sample size for each group n = 100) who were each representative of the general population of UK patients with BC in terms of treatment at the relevant stage. Group 1 comprised patients currently undergoing treatment for early BC (patients were selected to ensure adequate representation of patients treated with chemotherapy and targeted HER2 therapy [planned n = 40/100] and those treated with targeted HER2 therapy alone); Group 2 comprised patients with early BC who had completed treatment and were in remission (i.e. no longer receiving loco-regional treatment, chemotherapy or targeted HER2 therapy; patients may still have been receiving hormone therapy); Group 3 comprised patients receiving treatment for metastatic BC (patients were selected to ensure adequate representation of patients receiving first-line treatment [planned n = 50/100] and those receiving second/subsequent lines of treatment for metastatic BC). Two-hundred and ninety-nine patients with HER2-positive BC were enrolled into the study through physician referral using a mixed approach to recruitment (e.g. invited to participate at routine clinic appointments, telephone appointments or via a letter from their physician in order to reach those patients who did not require frequent clinic appointments) from 14 secondary and tertiary care centres across England, UK. Patients were eligible for enrolment at each site if they were aged ≥ 18 years at study start and had been diagnosed with early stage (stage I–III) or metastatic (stage IV) HER2-positive BC (confirmed by the study site physician). HER2-positive was defined as immunohistochemistry-positive and/or in situ hybridisation ≥ 2.0. Patients were excluded if they were unwilling or unable to consent, unable to complete HRQoL questionnaires, or had an Eastern Cooperative Oncology Group Performance Status ≥ 3 [15].

Data collection

Patients enrolled into the study completed questionnaires, either at the clinic or at home, on socio-demographic characteristics, including education level and work status, as well as several surveys. Surveys completed included the work productivity and activity impairment (WPAI) survey, the EuroQol-5 Dimensions-5 levels (EQ-5D-5L) questionnaire (dimensions: mobility, self-care, usual activities, pain/discomfort, anxiety/depression; visual analogue scale [VAS] score; index values), and the Functional Assessment of Cancer Therapy-Breast (FACT-B) questionnaire (subscale scores: physical wellbeing, functional wellbeing, social wellbeing, emotional wellbeing, BC-specific symptoms; FACT-B total score; FACT-General score; Trial Outcome Index). Clinical staff collected data from participating patients’ medical records related to demographics, medical history, disease and treatment history, and current treatments.

The study was performed in accordance with the Declaration of Helsinki and UK ethical approval from the Health Research Authority Research Ethics Committee (approval 16/EE/0429) was in place prior to study commencement.

Analysis

Data processing

WPAI subscales, EQ-5D-5L utility index, and FACT-B subscales were derived from patients’ data using published scoring algorithms [16,17,18]. The WPAI raw scores were converted into the four domains: absenteeism, presenteeism, work productivity loss and activity impairment.

The utility England tariff [16] reflects health states preferences in the UK population and was used as value set for the estimation of index values for the EQ-5D-5L. In addition, estimates using the utility UK crosswalk tariff [19] that associates values with the EQ-5D-3L equivalent profiles, were also estimated to enable potential comparisons of health utility with studies using the EQ-5D-3L. For domain scores of the FACT-B where ≥ 50% of patients provided answers, missing values were imputed using the mean of that domain score. All other missing values were not imputed and the proportion of missing values was computed for each survey (WPAI, FACT-B, EQ-5D-5L) within each of the three groups.

Data analysis

Data were analysed using SPSS (version 24.0). Descriptive statistics were calculated for patients’ characteristics (socio-demographics, disease history, current treatment and treatment history) and questionnaire scores (WPAI, EQ-5D-5L and FACT-B) for the full sample and stratified by patient group. Inter-group differences were evaluated using analysis of variance (ANOVA) for continuous variables, ordinal regression for ordinal variables, and Chi-square (χ2) analysis for categorical variables. A p value < 0.05 was considered statistically significant. The lower bound of the established minimal important differences [20] was used to interpret the clinical relevance of differences on the FACT-B scales.

Where appropriate, post hoc analyses were conducted to interpret significant main effects: pairwise t-test for ANOVA, and analysis of adjusted residuals for χ2 tests. Multiplicity of tests was accounted for in each post hoc analysis by applying a Bonferroni correction (level of significance post hoc p < 0.0167 for WPAI, threshold for FACT-B for each post hoc test is provided in the results section). Where the assumption of homogeneity of variance for ANOVA test was violated, as tested by Levene test, the Brown–Forsythe F-ratio and Greenhouse–Geisser p values were estimated, and the Games–Howell post hoc tests were conducted instead. This was the case for WPAI domains of absenteeism, overall work impairment and activity impairment variables (but not for presenteeism); for EQ-5D-5L VAS and utility index values; FACT-B dimensions of physical wellbeing, social wellbeing, emotional wellbeing, functional wellbeing, and FACT-G score variables.

To assess how HRQoL was related to productivity and activity impairment, Pearson’s correlation coefficients were calculated for HRQoL summary scores (EQ-5D-5L VAS; FACT-B total and FACT-G total) and FACT-B domains in relation to WPAI subscale scores for all three groups of patients combined. These correlations were used to guide linear multiple regression models assessing whether specific domains of HRQoL predicted (1) absenteeism, and (2), presenteeism. Physical wellbeing, functional wellbeing and BC-specific symptoms were entered into the model predicting absenteeism using a forced entry technique. Bonferroni adjusted p values of p < 0.008 were used in these analyses as a threshold for significance.

Results

A total of 299 eligible female patients from 14 sites were recruited to the study: 89 were assigned to Group 1 (patients currently undergoing targeted treatment for early BC); 108 were assigned to Group 2 (patients with early BC who had completed treatment and were in remission); and 102 were assigned to Group 3 (patients receiving treatment for metastatic BC). The proportion of missing data was < 6% for all the surveys conducted within each of the three groups. Recruitment into groups 1 and 3 was broadly as planned to mirror the proportion of patients in the UK HER2-positive BC population receiving types of treatment that could be expected to impact productivity and HRQoL (Group 1: with chemotherapy and HER2 targeted therapy [planned n = 40/100, actual n = 27/89]; Group 3: first-line treatment [planned n = 50/100, actual n = 55/102]; Additional file 1: Table S2).

Patient demographics and clinical characteristics

Patient groups did not differ significantly with regard to age, level of education, presence of comorbidities or hormone receptor positivity at study enrolment (Table 1 and Additional file 1: Table S1). Mean age of patients was 55.0 (SD: 11.1) years, 57.7 (10.6) years and 55.3 (11.2) years, in Groups 1, 2 and 3, respectively. Median time since diagnosis of early BC was 9.0 months (interquartile range [IQR]: 6.0 months), 45.0 months (32.0) and 79.5 months (82.0) in Groups 1, 2 and 3, respectively; and the median time since diagnosis of metastatic BC in Group 3 was 30.0 (37.0) months (Table 1). In Group 3, over a quarter of patients (26.5%) had de novo metastatic cancer; over three-quarters (75.5%) had visceral metastases and approximately a quarter (24.5%) had central nervous system (CNS) metastases. The treatment status of patients at study enrolment is summarised in Additional file 1: Table S2. Group 2 patients had completed their adjuvant therapy a median (IQR) of 27.5 (30.8) months prior to the study.

Table 1 Demographics and clinical characteristics at study enrolment, stratified by patient group
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Employment status and work productivity

Patient-reported employment status significantly differed between groups (χ2(1) = 39.45, p < 0.001; Table 2). Significantly more patients in Group 3, and significantly fewer patients in Group 2 reported inability to work (post hoc p < 0.003 for each comparison, significant after Bonferroni correction) than expected under the assumption of independence. Conversely, significantly fewer patients in Group 3 (post hoc p < 0.001), and marginally more patients in Group 2 (post hoc p = 0.03, not significant after Bonferroni correction) reported being in employment. For patients in part-time employment, the number of part-time hours worked per week reported by patients differed significantly between groups (F(2, 50) = 5.64; p = 0.006); patients in Group 3 reported working significantly fewer hours compared to those in Group 2 (post hoc p = 0.002, significant after Bonferroni correction; Table 2).

Table 2 Employment status and number of part-time hours worked by patient group
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Groups differed significantly on the WPAI subscales of absenteeism (F(2, 71.218) = 6.23; p = 0.003), overall work impairment (F(2, 80.107) = 4.04; p = 0.021), and activity impairment (F(2, 277.666) = 13.81; p < 0.001), but not on presenteeism (F(2, 97) = 0.25; p = 0.781) (Fig. 1, Additional file 1: Table S3). In particular, employed patients in Group 2 reported a significantly lower proportion of absenteeism than those in Group 1 (post hoc p < 0.001), and a significantly lower proportion of overall work impairment compared to those in Group 1 (post hoc p = 0.015). Conversely, considering both employed and non-employed patients, patients in Group 3 reported a significantly higher proportion of activity impairment than those in Groups 1 (post hoc p = 0.004) and 2 (post hoc p < 0.001), which did not differ significantly from one another.

Fig. 1
figure 1

Impaired work and non-work productivity by patient group. (a) Impaired work activity reported by employed patients. (b) Impaired non-work activity reported by all patients. Error bars show the standard error of the mean (see Additional file 1: Table S3 for further details). Absenteeism corresponds to percentage of work time missed, presenteeism corresponds to percentage of impairment while working, and work productivity corresponds to overall work impairment due to health. WPAI work productivity and activity impairment

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Health-related quality of life

EQ-5D-5L

Health profiles, as assessed by questionnaire dimensions of the EQ-5D-5L, differed by groups. Ordinal regression analyses revealed that Group significantly predicted EQ-5D-5L ratings of mobility, self-care and usual activity (χ2(2) = 15.005, p = 0.001 for mobility scores, χ2(2) = 28.874, p < 0.001 for self-care scores, and (χ2(2) = 30.659, p < 0.001 for usual activity scores). Specifically, Groups 1 and 2 were more likely to report lower levels of impairment than Group 3, but not pain or discomfort (χ2(2) = 5.799, p = 0.055), nor anxiety and depression (χ2(2) = 2.809, p = 0.245) (Fig. 2, Additional file 1: Table S4). Generally, patients in Group 3 more commonly reported moderate or worse problems across the various EQ-5D-5L domains compared to patients in Groups 1 and 2, and particularly in the domains of self-care and usual activities.

Fig. 2
figure 2

Proportion of patient responses by extent of problems reported in each EQ-5D-5L domain by patient group. See Additional file 1: Table S4 for further details

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Overall HRQoL, as assessed by EQ-5D-5L self-rated health status (assessed by VAS) and health utility (assessed by index values), also significantly differed across the patient groups (Fisher p < 0.001 for England tariff and VAS; Table 3 and Additional file 1: Table S5). The VAS scores reported by patients in Group 3 were significantly worse than those reported by patients in Group 2 (post hoc p < 0.001), and were marginally worse than those reported by patients in Group 1 (post hoc p = 0.059); while Group 1 and Group 2 did not differ significantly from one another. Patients in Group 3 reported significantly poorer health utility than those in Group 1 (England tariff post hoc p = 0.002) and Group 2 (England tariff post hoc p < 0.001); while Group 1 and Group 2 did not differ significantly from one another.

Table 3 Self-rated health status and health utility as measured by the EQ-5D-5L by patient group
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FACT-B

Groups differed significantly on the physical wellbeing (F(2,268.753) = 10.464, p < 0.001), social wellbeing (F(2,277.928) = 6.784, p = 0.001), emotional wellbeing (F(2,278.229) = 8.787, p < 0.001) and functional wellbeing (F(2,273.811) = 10.464, p < 0.001) subscales, as well as all of the summary scores (FACT-G: F(2,266.591) = 11.327, p < 0.001; FACT-B: F(2,289) = 8.172, p < 0.001; trial outcomes index: F(2,293) = 7.434, p = 0.001); although not significantly on the breast cancer-specific subscale (p = 0.602; Table 4). In particular, Group 2 reported significantly better physical wellbeing than Group 1 [post hoc p = 0.031 (not significant after Bonferroni correction)] and Group 3 (post hoc p < 0.001); which also represented a clinically significant difference (exceeding the established minimal important difference [MID] of 2 points). Group 2 also reported clinically and statistically significantly better functional wellbeing than Group 1 (post hoc p = 0.044) and Group 3 (post hoc p < 0.001), which differed marginally from one another (post hoc p = 0.060). Group 1 reported clinically and statistically significantly better social wellbeing than Group 3 (post hoc p = 0.001). Group 3 reported clinically and statistically significantly poorer emotional wellbeing than Group 1 (post hoc p = 0.001) and Group 2 (post hoc p = 0.004), which did not differ statistically from one another. Group 3 scored clinically and statistically significantly worse on the FACT-G, FACT-B summary scores than Group 1 (post hoc p = 0.003 and post hoc p = 0.004, respectively) and Group 2 (both post hoc p < 0.001), which did not differ statistically from one another. Group 3 also scored clinically and statistically significantly worse on the trial outcomes index than Group 2 (post hoc p < 0.001), although only marginally different than Group 1 (post hoc p = 0.068; post hoc p = 0.067 for Group 1 vs Group 2).

Table 4 Health-related quality of life as measured by the FACT-B scores by patient group
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Relationship between productivity and health-related quality of life

Higher activity impairment and overall work impairment were significantly associated with poorer HRQoL, as assessed by EQ-5D-5L VAS, and FACT-B total and FACT-G scores (all p < 0.001), and the strongest associations were observed for activity impairment (Additional file 1: Table S6).

The correlations between FACT-B domains and absenteeism and presenteeism are presented in Additional file 1: Table S7. Poorer physical and functional wellbeing and breast cancer-specific symptoms were significantly associated with higher impairment in work productivity as measured by levels of absenteeism and presenteeism (Pearson’s correlations p < 0.001); while social wellbeing was not observed to be associated with either domain of work productivity. In a multiple linear regression model, physical wellbeing, functional wellbeing and breast cancer specific symptoms significantly predicted absenteeism (p < 0.001), and collectively explained 24% of the variance in absenteeism (Additional file 1: Table S8). Of these predictors, only functional wellbeing was a significant independent predictor. Physical wellbeing, emotional wellbeing, functional wellbeing and breast cancer specific symptoms significantly predicted presenteeism (p < 0.001), and collectively explained 53% of the variance in presenteeism. Of these predictors, both physical and functional wellbeing were significant independent predictors.

Discussion

Several published studies have evaluated the impact of breast cancer on HRQoL in patients with HER2-positive metastatic BC [21], or patients with BC at different stages of disease [22], and compared stages of BC in terms of loss of work productivity [12]. However, this is, to our knowledge, the first study conducted in patients with HER2 BC describing both HRQoL and productivity in relation to different stages of disease and treatment. In addition, although studies have been published in Asian [22], North-American [2] and some European populations [12] on these aspects, evidence remains limited for the UK.

Breast cancer in relation to employment and work productivity

Metastatic disease was found to impact employment status, with approximately one quarter of patients with metastatic disease (Group 3) reporting being unable to work, compared with fewer than one in ten patients with early BC (Groups 1 and 2). When in part-time employment, patients in Group 3 also worked fewer hours than patients in Groups 1 and 2. In a recent meta-analysis, breast cancer survivors remained at a significantly higher risk of unemployment compared to the general population, which was not the case for other cancers [23]. This may be because the other cancers (blood cancers and testicular cancers) are more common in younger patients, and that perhaps patients with BC were opting for early retirement. However, it is notable that despite lower rates of employment in patients with metastatic BC, of the patients in employment, there were no significant differences in terms of presenteeism between the three groups, suggesting that patients who were able to work, even part-time, were able to be productive. Patients with metastatic BC had similar levels of overall work impairment compared to patients with early BC on treatment. The main impact on productivity was from increased absenteeism in both groups, suggesting that loss of working days due to treatment was an important reason for impaired productivity and would decrease once the patients entered remission. Two studies conducted in North America have reported on loss of working days in women with BC: in the US an average of 22 days were missed from work, and 40 days in patients at more advanced stage of disease [24]; and in Canada patients took almost 6 months off work on average [25]. Further studies would be warranted to better understand absenteeism in patients with breast cancer and how the impact of treatment and stage of disease on work attendance and productivity may be minimised.

Levels of overall work impairment and activity impairment were below 50% in all groups in our study. This is relatively lower than previously reported in Sweden and the Netherlands where levels of work-productivity impairment among women currently receiving treatment for BC were 72% and 69%, respectively, and levels of activity impairment were 62% and 55%, respectively [12]. However, our estimates are similar to those of a US study in patients with advanced BC where activity impairment was 30% and work-productivity impairment ranged between 20 and 40% for the different WPAI scores in employed patients [2]. This emphasises the importance of determining country-specific measurements for estimating the impact of BC on productivity. Patients in remission in our study were significantly less impaired than patients on treatment for subscale scores of work productivity (absenteeism, overall work impairment and activity impairment, not significantly for presenteeism), consistent with the previous study from Sweden and the Netherlands [12]. However, even in patients in remission, absence due to disease and impairment whilst at work remained at levels impacting productivity, emphasising the need for long-term support for women going back to work after treatment for BC.

Breast cancer in relation to health-related quality of life

Patients with early BC experienced similar levels of HRQoL, whether they were in remission or on treatment, and significantly higher HRQoL than patients with metastatic BC. Similarly, in a meta-analysis in Asian women, patients with BC with comorbidities and those treated with chemotherapy had poorer HRQoL compared to women at earlier stages of disease [22]. In a study of US women with HER2-positive metastatic BC, levels of HRQoL increased over time, with women living longer with the disease experiencing an improvement in HRQoL compared to women diagnosed more recently [21]. Levels of HRQoL, as indicated by the EQ-5D-5L and FACT-B summary scores, were similar to that previously reported in other countries, confirming that patients with BC have relatively high levels of HRQoL [2, 13, 26]. In a previous study in Sweden and the Netherlands mean utility scores for stable and progressive diseases were 0.81 and 0.61, respectively [12], similar to utility scores in our sample as estimated with the England tariff. However, it is notable that the FACT-B breast cancer-specific subscale scores were similar between the three groups, suggesting this subscale is not sensitive to differences in breast cancer stage or treatment, consistent with results of the original validation paper that demonstrated no association of this subscale with extent of disease [27].

In our study, disease stage did not explain the level of anxiety and depression, which was not a concern for approximately 40–50% of patients. This is in line with a study demonstrating a majority of women with advanced disease remaining below clinical thresholds for depression [14], and another study reporting high levels of emotional wellbeing in patients in long-term remission [13]. In a meta-analysis, symptoms of depression were elevated in patients in remission 1-year after treatment, and decreased over the ensuing years; and anxiety was not raised in any year post-treatment [28]. In contrast, in our study, anxiety and depression in patients with early BC were similar in those on treatment (diagnosed on average 6 months prior to study enrolment) and in patients in remission (diagnosed on average 2.7 years prior to study enrolment). However, it should be acknowledged that poorer emotional wellbeing, as assessed by FACT-B, was observed in patients with metastatic BC compared with those with early BC. While our study was not adequately powered to further investigate the impact of time in remission on anxiety and depression, our results suggest that, although treatment for BC impacts on various aspects of daily life, including emotional wellbeing and productivity, the majority of women at all stages of BC maintain good mental health in terms of anxiety and depression, even in the presence of metastatic disease.

Relationship between health-related quality of life and work productivity in patients with breast cancer

Poorer HRQoL was associated with greater work and non-work impairment: physical and functional wellbeing, along with BC specific symptoms, were correlated with absenteeism and presenteeism, and emotional wellbeing was associated with presenteeism only. This is in line with the findings of a previous study, which showed that overall quality of life in patients with BC in remission was associated with economic aspects such as work productivity, quality of work, absenteeism, and change in spouse/partner’s income [29]. A recent study in patients with HER2-positive metastatic BC observed a temporal adjustment to the impact of disease, with patients having lived longer with the disease experiencing higher levels of HRQoL and also reporting lower productivity impairment than those recently diagnosed [21]. Taken together, this evidence suggests that maintaining high levels of HRQoL in patients with BC may have a positive economic impact, and conversely limiting the economic burden in patients with BC may translate into improved HRQoL, at all stages of disease and treatment.

Strengths and limitations

Our study has several strengths. Characteristics of patients in our study were similar to UK patients with HER2-positive BC as reported nationally with regard to age, ethnicity, and educational status [30, 31]. A quarter of patients in Group 3 were diagnosed de novo with metastatic BC. This is within the range reported in other studies, including a study in the Netherlands which observed 19% of patients diagnosed with de novo metastatic BC [32], and a study in US patients which reported 33% with de novo metastatic BC [33].

This study is subject to limitations. Selection bias may have been introduced by including consenting patients only, as they may have differed from patients refusing consent. Two thirds of the patients included in our study were not in paid employment, the majority of which were retired, and therefore some analyses in employed patients will have been conducted in small samples. This was a cross-sectional study and therefore the temporal relationship between disease/treatment stage and impact on productivity and HRQoL could not be assessed. In particular, it was not possible to conclude whether worse HRQoL and productivity for patients with metastatic BC (three quarters of which were not de novo metastatic and had progressed from early BC) compared to patients with early BC was due to differences between individuals rather than to worsening of patient’s condition with disease progression. Similarly, the better HRQoL in patients with early BC in remission compared to those still on treatment could be attributable in part to sample variation rather than temporal improvement. Furthermore, we did not evaluate the relationship between the time since diagnosis and HRQoL. In the population of patients in the study with metastatic disease, approximately one quarter had central nervous system (CNS) disease. This is consistent with the reported incidence of brain metastases in HER-2 positive breast cancer [34]. The presence of CNS disease would be expected to have a disproportionate impact on HRQoL and work productivity compared to extracranial disease sites. Furthermore, the study relied on the completeness and quality of medical records and the patients’ answers to questionnaires.

Whilst a longitudinal study design could identify temporal changes in HRQoL and work productivity throughout the course of disease, significant loss to follow-up would be expected during a prolonged period of observation, which would limit the interpretation of results, supporting the cross-sectional approach.

It should be noted that analyses reported were not corrected for potential confounders because groups did not differ on demographic variables or comorbidities and other covariate variables were considered to be either intrinsically linked to group selection criteria (e.g. treatment or disease history), or to the variables being assessed (employment status is somewhat dependent on HRQoL). However, we cannot exclude that other factors not evaluated in the present study (e.g. time since diagnosis) may have influenced the study results. The results of this study should be interpreted in light of these limitations.

Conclusion

The results of the present study in UK patients with HER2-positive BC are broadly consistent with results of previous studies in Asian, North American and European patients with BC. In particular, metastatic disease and treatment of HER2-positive BC were shown to adversely impact on both work productivity and HRQoL. The results of this study support the idea that being able to delay or prevent the metastatic recurrence of BC, for example by extending the time patients are in remission or at an early stage of BC, has wider benefits in terms of patient productivity and HRQoL.

Availability of data and materials

The data that support the findings of this study are available from Roche Products Ltd but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Roche Products Ltd.

Abbreviations

ANOVA:

Analysis of variance

BC:

Breast cancer

CNS:

Central nervous system

EQ-5D-5L:

EuroQoL-5 dimension-5 level

FACT-B:

Functional Assessment of Cancer Therapy-Breast Cancer

FACT-G:

Functional Assessment of Cancer Therapy-General

GCSE:

General Certificate of Secondary Education

HER2:

Human epidermal growth factor 2

HRQoL:

Health-related quality of life

IQR:

Interquartile range

SD:

Standard deviation

VAS:

Visual analogue scale

WPAI:

Work productivity and activity impairment

References

  1. Breast cancer statistics. Cancer Research UK. 2015. https://www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/breast-cancer. Accessed 12 Apr 2018.

  2. Cleeland CS, Mayer M, Dreyer NA, Yim YM, Yu E, Su Z, et al. Impact of symptom burden on work-related abilities in patients with locally recurrent or metastatic breast cancer: results from a substudy of the VIRGO observational cohort study. Breast. 2014;23:763–9.

    Article  PubMed  Google Scholar 

  3. Ross JS, Slodkowska EA, Symmans WF, Pusztai L, Ravdin PM, Hortobagyi GN. The HER-2 receptor and breast cancer: ten years of targeted anti-HER-2 therapy and personalized medicine. Oncologist. 2009;14:320–68.

    Article  CAS  PubMed  Google Scholar 

  4. Piccart M, Lohrisch C, Di Leo A, Larsimont D. The predictive value of HER2 in breast cancer. Oncology. 2001;61(Suppl 2):73–82.

    Article  CAS  PubMed  Google Scholar 

  5. Cameron D, Piccart-Gebhart MJ, Gelber RD, Procter M, Goldhirsch A, de Azambuja E, et al. 11 years’ follow-up of trastuzumab after adjuvant chemotherapy in HER2-positive early breast cancer: final analysis of the HERceptin Adjuvant (HERA) trial. Lancet. 2017;389:1195–205.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Ahmed S, Sami A, Xiang J. HER2-directed therapy: current treatment options for HER2-positive breast cancer. Breast Cancer. 2015;22:101–16.

    Article  PubMed  Google Scholar 

  7. Vici P, Pizzuti L, Natoli C, Moscetti L, Mentuccia L, Vaccaro A, et al. Outcomes of HER2-positive early breast cancer patients in the pre-trastuzumab and trastuzumab eras: a real-world multicenter observational analysis. The RETROHER study. Breast Cancer Res Treat. 2014;147:599–607.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Dent S, Oyan B, Honig A, Mano M, Howell S. HER2-targeted therapy in breast cancer: a systematic review of neoadjuvant trials. Cancer Treat Rev. 2013;39:622–31.

    Article  CAS  PubMed  Google Scholar 

  9. Slamon DJ, Eiermann W, Robert NJ, Giermek J, Martin M, Jasiowka M, et al. Ten year follow-up of BCIRG-006 comparing doxorubicin plus cyclophosphamide followed by docetaxel (AC→T) with doxorubicin plus cyclophosphamide followed by docetaxel and trastuzumab (AC→TH) with docetaxel, carboplatin and trastuzumab (TCH) in HER2+ early breast cancer (Abstract S5–04). Cancer Res. 2016;76(suppl):S5-04.

    Google Scholar 

  10. Swain SM, Miles D, Kim S-B, Im Y-H, Im S-A, Semiglazov V, et al. Pertuzumab, trastuzumab, and docetaxel for HER2-positive metastatic breast cancer (CLEOPATRA): end-of-study results from a double-blind, randomised, placebo-controlled, phase 3 study. Lancet Oncol. 2020;21:519–30.

    Article  CAS  PubMed  Google Scholar 

  11. Diéras V, Miles D, Verma S, Pegram M, Welslau M, Baselga J, et al. Trastuzumab emtansine versus capecitabine plus lapatinib in patients with previously treated HER2-positive advanced breast cancer (EMILIA): a descriptive analysis of final overall survival results from a randomised, open-label, phase 3 trial. Lancet Oncol. 2017;18:732–42.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Frederix GWJ, Quadri N, Hövels AM, van de Wetering FT, Tamminga H, Schellens JHM, et al. Utility and work productivity data for economic evaluation of breast cancer therapies in the Netherlands and Sweden. Clin Ther. 2013;35:e1-7.

    Article  PubMed  Google Scholar 

  13. Ganz PA, Desmond KA, Leedham B, Rowland JH, Meyerowitz BE, Belin TR. Quality of life in long-term, disease-free survivors of breast cancer: a follow-up study. J Natl Cancer Inst. 2002;94:39–49.

    Article  PubMed  Google Scholar 

  14. Wyatt G, Sikorskii A, Tamkus D, You M. Quality of life among advanced breast cancer patients with and without distant metastasis. Eur J Cancer Care. 2013;22:272–80.

    Article  CAS  Google Scholar 

  15. ECOG Performance Status [Internet]. ECOG-ACRIN. https://ecog-acrin.org/resources/ecog-performance-status. Accessed 10 Apr 2018.

  16. Devlin N, Shah K, Feng Y, Mulhern B, Van Hout B. Valuing health-related quality of life: an EQ-5D-5L value set for England. Office of National Statistics. January 2016.

  17. Reilly Associates WPAI Scoring. Reilly Assoc. WPAI Scoring. https://www.reillyassociates.net/WPAI_Scoring.html. Accessed 10 Apr 2018.

  18. Webster K, Cella D, Yost K. The functional assessment of chronic illness therapy (FACIT) measurement system: properties, applications, and interpretation. Health Qual Life Outcomes. 2003;1:79.

    Article  PubMed  PubMed Central  Google Scholar 

  19. van Hout B, Janssen MF, Feng Y-S, Kohlmann T, Busschbach J, Golicki D, et al. Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets. Value Health. 2012;15:708–15.

    Article  PubMed  Google Scholar 

  20. Eton DT, Cella D, Yost KJ, Yount SE, Peterman AH, Neuberg DS, et al. A combination of distribution- and anchor-based approaches determined minimally important differences (MIDs) for four endpoints in a breast cancer scale. J Clin Epidemiol. 2004;57:898–910.

    Article  PubMed  Google Scholar 

  21. Bajaj PS, Sussman M, Yu J, Reyes CM, Stein A, Lai C, et al. How are quality of life and work productivity associated with living longer with HER2+ metastatic breast cancer? J Clin Oncol. 2017;35:215–215.

    Article  Google Scholar 

  22. Ho PJ, Gernaat SAM, Hartman M, Verkooijen HM. Health-related quality of life in Asian patients with breast cancer: a systematic review. BMJ Open. 2018;8:e020512.

    Article  PubMed  PubMed Central  Google Scholar 

  23. de Boer AGEM, Taskila T, Ojajärvi A, van Dijk FJH, Verbeek JHAM. Cancer survivors and unemployment: a meta-analysis and meta-regression. JAMA. 2009;301:753–62.

    Article  PubMed  Google Scholar 

  24. Bradley CJ, Oberst K, Schenk M. Absenteeism from work: the experience of employed breast and prostate cancer patients in the months following diagnosis. Psychooncology. 2006;15:739–47.

    Article  PubMed  Google Scholar 

  25. Drolet M, Maunsell E, Mondor M, Brisson C, Brisson J, MĂ¢sse B, et al. Work absence after breast cancer diagnosis: a population-based study. CMAJ. 2005;173:765–71.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Oliveira IS, Costa LCM, Manzoni ACT, Cabral CMN. Assessment of the measurement properties of quality of life questionnaires in Brazilian women with breast cancer. Braz J Phys Ther. 2014;18:372–83.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Brady MJ, Cella DF, Mo F, Bonomi AE, Tulsky DS, Lloyd SR, et al. Reliability and validity of the Functional Assessment of Cancer Therapy-Breast quality-of-life instrument. J Clin Oncol. 1997;15:974–86.

    Article  CAS  PubMed  Google Scholar 

  28. Maass SWMC, Roorda C, Berendsen AJ, Verhaak PFM, de Bock GH. The prevalence of long-term symptoms of depression and anxiety after breast cancer treatment: a systematic review. Maturitas. 2015;82:100–8.

    Article  CAS  PubMed  Google Scholar 

  29. Meneses K, Azuero A, Hassey L, McNees P, Pisu M. Does economic burden influence quality of life in breast cancer survivors? Gynecol Oncol. 2012;124:437–43.

    Article  PubMed  Google Scholar 

  30. Office for National Statistics: Official Labour Market Statistics, England and Wales, 2011: Highest level of qualification by age. https://www.nomisweb.co.uk/census/2011/LC5102EW/view/2092957703?rows=c_age&cols=c_hlqpuk11. Accessed 10 Apr 2018.

  31. West Midlands Cancer Intelligence Unit, National Cancer Intelligence Network. All breast cancer report: A UK analysis of all symptomatic and screen-detected breast cancers diagnosed in 2006. 2006. https://www.ncin.org.uk/view?rid=68. Accessed 10 Apr 2018.

  32. Lobbezoo DJA, van Kampen RJW, Voogd AC, Dercksen MW, van den Berkmortel F, Smilde TJ, et al. Prognosis of metastatic breast cancer: are there differences between patients with de novo and recurrent metastatic breast cancer? Br J Cancer. 2015;112:1445–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Yardley DA, Kaufman PA, Brufsky A, Yood MU, Rugo H, Mayer M, et al. Treatment patterns and clinical outcomes for patients with de novo versus recurrent HER2-positive metastatic breast cancer. Breast Cancer Res Treat. 2014;145:725–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Lin NU. Brain metastases in HER2-positive breast cancer. Lancet Oncol. 2013;14:185–6.

    Article  PubMed  Google Scholar 

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Acknowledgements

Myriam Alexander at pH Associates provided support with medical writing. The authors would like to thank the investigational staff and the patients at the 14 study centres who participated in the study.

Funding

The study was sponsored by Roche Products Ltd, the manufacturers of several anti-cancer treatments for HER2-positive breast cancer. It was designed by pH Associates and implemented by Roche Country Clinical Operations with the support of IQVIA (formerly Quintiles IMS). Data analysis was provided by the York Health Economics Consortium, and medical writing support by pH Associates Ltd (an Open Health Company), which were both funded by Roche Products Ltd, in accordance with Good Publications Practice (GPP3) Guidelines (https://www.ismpp.org/gpp3).

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Authors and Affiliations

  1. The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK

    Mark Verrill

  2. Division of Cancer Sciences, University of Manchester and the Christie NHS Foundation Trust, Manchester, UK

    Andrew M. Wardley

  3. York Health Economics Consortium, York, UK

    Jenny Retzler & Adam B. Smith

  4. Department of Psychology, University of Huddersfield, Huddersfield, UK

    Jenny Retzler

  5. pH Associates Ltd (an Open Health Company), Marlow, UK

    Catherine Bottomley

  6. Roche Products Ltd, Welwyn Garden City, UK

    Sorcha Ní Dhochartaigh, Irwin Tran & Iain Leslie

  7. Queen Mary University of London, London, UK

    Peter Schmid

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  1. Mark Verrill
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Contributions

MV, AW, SND, IT, IL, CB and PS designed the study. JR and AS performed the data analysis. All authors interpreted study results, commented on drafts of the manuscript in development and approved the final manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Iain Leslie.

Ethics declarations

Ethics approval and consent to participate

UK ethical approval by the National Health Service Research Ethics Committee (approval 16/EE/0429) was in place prior to study commencement. All participants provided informed consent to enrol into the study.

Consent for publication

Not applicable.

Competing interests

MV: consulting fees from and ownership interest in Roche Products Ltd. AW: advisory and speaker fees from Roche Products Ltd. JR and ABS: employees of York Health Consortium. CB: was an employee of pH Associates at the time this study was conducted. IT: employee of Genentech (a Roche subsidiary). IL and SND: were employees of Roche Products Ltd at the time this study was conducted. PS: organisational grant (to Queen Mary University of London); spouse has received funding from Roche Products Ltd.

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Verrill, M., Wardley, A.M., Retzler, J. et al. Health-related quality of life and work productivity in UK patients with HER2-positive breast cancer: a cross-sectional study evaluating the relationships between disease and treatment stage. Health Qual Life Outcomes 18, 353 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s12955-020-01603-w

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Keywords

Health and Quality of Life Outcomes

ISSN: 1477-7525

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