Quality of life (QoL) in metastatic breast cancer patients with maintenance paclitaxel plus gemcitabine (PG) chemotherapy: results from phase III, multicenter, randomized trial of maintenance chemotherapy versus observation (KCSG-BR07-02)

The Impact of AC and AC-T Chemotherapy's Toxicities on Quality of Life Among Women with Breast Cancer in Ethiopia: A Prospective Patient-Reported Outcomes Study

PURPOSE

The study aimed to evaluate the quality of life patterns and the effects of AC and AC-T chemotherapy's toxicities on QoL among Ethiopian women with breast cancer.

METHODS

QoL was measured at baseline and at every end of two cycles, for the median of 8 cycles among 146 breast cancer women on AC and AC-T chemotherapy, using EORTC QLQ-C30 and BR23 instruments. The effect of QoL score, socio-demographic, and clinical variables at baseline were adjusted for the effect of chemotherapy's toxicities on QoL.

RESULTS

Overall QoL, all functional scales (except cognitive functioning, body image, future perspectives, and sexual functioning) and symptom scales (except dyspnea, insomnia, pain score, arm, and breast symptoms) of EORTC QLQ-C30 and BR23 deteriorated significantly both clinically and statistically, in particular, during the first two cycles of chemotherapy. After the end of cycle 2 or 4, except for cognitive, social functioning, and financial difficulties of the patients, almost all other QoL dimensions were improved towards pretreatment score by the end of cycle 8. In addition to age, educational status, and tumor stage, the Global Health Status (-10.55≤B≤-7.71, P≤0.013), and the functional scales (-25.320≤B≤-6.351, P≤0.033) of EORTC QLQ-C30 and BR23 were significantly affected at least by one of the AC and AC-T chemotherapy's toxicity such as grade≥2 fatigue, dysgeusia, constipation, dry mouth, vomiting, oral mucositis, skin hyperpigmentation and/or peripheral neuropathy than their lower grade. Grade≥2 fatigue, dysgeusia, oral mucositis, constipation, peripheral neuropathy, anemia arthralgia/myalgia, dry mouth, diarrhea, constipation, and/or skin hyperpigmentation were positively predicted for the deterioration of symptoms scale of EORTC QLQ-C30 and BR23 (4.819≤B≤26.451, P≤0.043).

CONCLUSION

Quality of life among Ethiopian breast cancer patients on AC and AC-T regimens significantly deteriorated particularly during the first two cycles of chemotherapy. In addition to the age, tumor stage and educational status of the patients, grade≥2 fatigue, dysgeusia, constipation, oral mucositis, dry mouth, peripheral neuropathy, and skin hyperpigmentation due to AC and AC-T chemotherapy were frequently associated with deterioration of different scales/items QoL. Hence, devising different strategies to improve the deteriorated QoL due to chemotherapy's toxicities particularly during the first two cycles has paramount importance.

The role of chemotherapy in treatment of advanced breast cancer: an overview for clinical practice

This review aims to evaluate the role of chemotherapy-containing regimens in the treatment of advanced breast cancer (ABC), with the purpose to optimize selection, sequencing and duration of treatment with the currently available agents for clinical practice. Data from observational as well as randomized phase II and III studies were included. Chemotherapy yielded a median overall survival (OS) of 2 years in registration studies, with comparable efficacy of different agents. Combining chemotherapy agents did not yield OS improvement and caused greater toxicity compared with single-agent chemotherapy. Continuing chemotherapy till progression or unacceptable toxicity generated greater efficacy without detrimental impact on quality of life compared with a limited amount of cycles. In real-world studies, benefits after third-line chemotherapy were modest compared with first- and second-line. Furthermore, effects of previous chemotherapy predicted effects of next-line therapy in real-world. Physicians increasingly prescribed capecitabine or taxanes as first- or second-line chemotherapy over time.

The influence on quality of life of intermittent scheduling in first- and second-line chemotherapy of patients with HER2-negative advanced breast cancer

BACKGROUND

The Stop&Go study randomized patients with advanced breast cancer to intermittent (two times four) or continuous (eight subsequent cycles) first- and second-line chemotherapy.

METHODS

QoL was measured with RAND-36 questionnaires every 12 weeks. The primary objective was to estimate differences in changes from baseline between intermittent and continuous treatment. An effect size of 0.5 SD (5 points) was considered clinically meaningful.

RESULTS

A total of 398 patients were included with a median follow-up of 11.4 months (IQR 5.6-22.2). Mean physical QoL baseline scores were 38.0 resp. 38.2, and mental scores 45.0 resp. 42.4 for intermittent and continuous treatment. Physical QoL declined linearly in the intermittent arm causing a clinically meaningful difference of 5.40 points at 24 months (p < 0.001), while scores in the continuous arm stabilized after a small decline of ± 3.4 points at 12 months. Conversely, mental QoL was fairly stable and even improved with 1.58 (p = 0.005) and 2.48 points (p < 0.001) at 12 months for intermittent and continuous treatment, respectively. When comparing arms for both components in changes from baseline, the maximum differences were 2.46 (p = 0.101) and 1.95 points (p = 0.182) for physical and mental scores, both measured at 30 months and in favor of continuous treatment.

CONCLUSION

Intermittent first- and second-line chemotherapy in patients with HER2-negative advanced breast cancer showed a trend for worse impact on QoL compared to continuous chemotherapy, with neither significant nor meaningful differences in course. We recommend prescribing chemotherapy continuously until progressive disease or unacceptable toxicity. Trial registration EudraCT 2010-021519-18; BOOG 2010-02.

Maintenance Therapy in HER2-Negative Metastatic Breast Cancer: A New Approach for an Old Concept

The aim of this article is to discuss the role of maintenance therapy with chemotherapy, endocrine therapy, or bevacizumab-based combination therapy in patients with human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer. The optimization of maintenance therapy in patients with HER2-negative metastatic breast cancer must be based on disease profile (tumor subtype and endocrine-sensitive status), the prior use of bevacizumab-containing regimens, and the number of prognostic risk factors. Chemotherapy should be used in patients with triple-negative breast cancer and endocrine-resistant hormone receptor-positive metastatic breast cancer, whereas endocrine therapy is the preferred option for patients with endocrine-sensitive hormone receptor-positive metastatic breast cancer. After first-line bevacizumab plus chemotherapy, bevacizumab may be continued until disease progression or unacceptable toxicity, and endocrine therapy or capecitabine may be added. The goals of maintenance therapy in patients with HER2-negative metastatic breast cancer are to improve and maintain clinical response, increase time to progression, extend overall survival, relieve tumor-related symptoms, and delay the use of aggressive therapies, without compromising quality of life. Maintenance therapy, using chemotherapy, endocrine therapy, and combined therapy with bevacizumab, is a reasonable strategy to achieve these goals in patients with either triple-negative breast cancer or hormone receptor-positive and HER2-negative metastatic breast cancer. Ongoing clinical studies of new molecular-targeted therapies may provide additional pharmacological options for future maintenance strategies in these patients.

Optimal designs in three-level cluster randomized trials with a binary outcome

Cluster randomized trials (CRTs) were originally proposed for use when randomization at the subject level is practically infeasible or may lead to a severe estimation bias of the treatment effect. However, recruiting an additional cluster costs more than enrolling an additional subject in an individually randomized trial. Under budget constraints, researchers have proposed the optimal sample sizes in two-level CRTs. CRTs may have a three-level structure, in which two levels of clustering should be considered. In this paper, we propose optimal designs in three-level CRTs with a binary outcome, assuming a nested exchangeable correlation structure in generalized estimating equation models. We provide the variance of estimators of three commonly used measures: risk difference, risk ratio, and odds ratio. For a given sampling budget, we discuss how many clusters and how many subjects per cluster are necessary to minimize the variance of each measure estimator. For known association parameters, the locally optimal design is proposed. When association parameters are unknown but within predetermined ranges, the MaxiMin design is proposed to maximize the minimum of relative efficiency over the possible ranges, that is, to minimize the risk of the worst scenario.

Statistical analysis of patient-reported outcome data in randomised controlled trials of locally advanced and metastatic breast cancer: a systematic review

Although patient-reported outcomes (PROs), such as health-related quality of life, are important endpoints in randomised controlled trials (RCTs), there is little consensus about the analysis, interpretation, and reporting of these data. We did a systematic review to assess the variability, quality, and standards of PRO data analyses in advanced breast cancer RCTs. We searched PubMed for English language articles published in peer-reviewed journals between Jan 1, 2001, and Oct 30, 2017. Eligible articles were those that reported PRO results from RCTs of adult patients with advanced breast cancer receiving anti-cancer treatments with reported sample sizes of at least 50 patients-66 RCTs met the selection criteria. Only eight (12%) RCTs reported a specific PRO research hypothesis. Heterogeneity in the statistical methods used to assess PRO data was observed, with a mixture of longitudinal and cross-sectional techniques. Not all articles addressed the problem of multiple testing. Fewer than half of RCTs (28 [42%]) reported the clinical significance of their findings. 48 (73%) did not report how missing data were handled. Our systematic review shows a need to improve standards in the analysis, interpretation, and reporting of PRO data in cancer RCTs. Lack of standardisation makes it difficult to draw robust conclusions and compare findings across trials. The Setting International Standards in the Analyzing Patient-Reported Outcomes and Quality of Life Data Consortium was set up to address this need and develop recommendations on the analysis of PRO data in RCTs.

Relative efficiency of unequal versus equal cluster sizes in cluster randomized trials using generalized estimating equation models

There is growing interest in conducting cluster randomized trials (CRTs). For simplicity in sample size calculation, the cluster sizes are assumed to be identical across all clusters. However, equal cluster sizes are not guaranteed in practice. Therefore, the relative efficiency (RE) of unequal versus equal cluster sizes has been investigated when testing the treatment effect. One of the most important approaches to analyze a set of correlated data is the generalized estimating equation (GEE) proposed by Liang and Zeger, in which the "working correlation structure" is introduced and the association pattern depends on a vector of association parameters denoted by ρ. In this paper, we utilize GEE models to test the treatment effect in a two-group comparison for continuous, binary, or count data in CRTs. The variances of the estimator of the treatment effect are derived for the different types of outcome. RE is defined as the ratio of variance of the estimator of the treatment effect for equal to unequal cluster sizes. We discuss a commonly used structure in CRTs-exchangeable, and derive the simpler formula of RE with continuous, binary, and count outcomes. Finally, REs are investigated for several scenarios of cluster size distributions through simulation studies. We propose an adjusted sample size due to efficiency loss. Additionally, we also propose an optimal sample size estimation based on the GEE models under a fixed budget for known and unknown association parameter (ρ) in the working correlation structure within the cluster.

Optimal design of longitudinal data analysis using generalized estimating equation models

Longitudinal studies are often applied in biomedical research and clinical trials to evaluate the treatment effect. The association pattern within the subject must be considered in both sample size calculation and the analysis. One of the most important approaches to analyze such a study is the generalized estimating equation (GEE) proposed by Liang and Zeger, in which "working correlation structure" is introduced and the association pattern within the subject depends on a vector of association parameters denoted by ρ. The explicit sample size formulas for two-group comparison in linear and logistic regression models are obtained based on the GEE method by Liu and Liang. For cluster randomized trials (CRTs), researchers proposed the optimal sample sizes at both the cluster and individual level as a function of sampling costs and the intracluster correlation coefficient (ICC). In these approaches, the optimal sample sizes depend strongly on the ICC. However, the ICC is usually unknown for CRTs and multicenter trials. To overcome this shortcoming, Van Breukelen et al. consider a range of possible ICC values identified from literature reviews and present Maximin designs (MMDs) based on relative efficiency (RE) and efficiency under budget and cost constraints. In this paper, the optimal sample size and number of repeated measurements using GEE models with an exchangeable working correlation matrix is proposed under the considerations of fixed budget, where "optimal" refers to maximum power for a given sampling budget. The equations of sample size and number of repeated measurements for a known parameter value ρ are derived and a straightforward algorithm for unknown ρ is developed. Applications in practice are discussed. We also discuss the existence of the optimal design when an AR(1) working correlation matrix is assumed. Our proposed method can be extended under the scenarios when the true and working correlation matrix are different.

Quality of life during olaparib maintenance therapy in platinum-sensitive relapsed serous ovarian cancer

Background:

Maintenance monotherapy with the poly(ADP-ribose) polymerase inhibitor olaparib significantly prolongs progression-free survival over placebo in patients with platinum-sensitive relapsed serous ovarian cancer, with greatest benefit seen in patients with a BRCA1/2 mutation (BRCAm). Preservation of health-related quality of life (HRQoL) is important during maintenance therapy; we evaluated the effect of olaparib on HRQoL in this Phase II trial (NCT00753545, Study 19).

Methods:

Patients received olaparib 400 mg b.i.d. (capsules) or placebo until progression. Patient-reported HRQoL and disease-related symptoms were evaluated using the FACT-Ovarian (FACT-O) questionnaire (completed at baseline and every 28 days until progression), the FACT/NCCN Ovarian Symptom Index (FOSI) and the Trial Outcome Index (TOI). TOI of the FACT-O was the primary measure.

Results:

Overall, 265 women were randomised to maintenance olaparib (n=136) or placebo (n=129). Compliance for HRQoL assessment was high (∼80% over time). Most patients in both arms reported a best response of ‘no change' on TOI (81%) and other HRQoL measures. There were no statistically significant differences in time to worsening or improvement rates of TOI, FOSI and FACT-O scores in the overall, BRCAm and germline BRCAm populations.

Conclusions:

Maintenance treatment with olaparib was well tolerated and had no adverse impact on HRQoL in this study of patients with platinum-sensitive relapsed serous ovarian cancer who had responded to their most recent platinum-based therapy (partial or complete response). Interpretation of the HRQoL results in this population may differ from patients who have not responded to their most recent platinum-based therapy.

The use of patient-reported outcomes in advanced breast cancer clinical trials: a review of the published literature

OBJECTIVE

As a means to measure quantifiable signs, symptoms, and impacts of a disease or its treatment, patient-reported outcome (PRO) instruments can be applied to numerous settings, including use in drug development to support labeling claims. This research summarizes the use of PROs in trials for 16 commonly used regulatory approved treatments for advanced or metastatic breast cancer.

METHODS

For each treatment (n = 16), a literature search was conducted in MEDLINE, Embase, and PsycINFO. The primary criterion for selection was the report of studies that used PROs to evaluate treatment benefit and/or toxicity in advanced or metastatic breast cancer. From this, a sub-set of articles for each treatment were selected for full-text review where PRO-related information was extracted and summarized.

RESULTS

The searches yielded 1727 publications. Following abstract review, 1702 were excluded because they failed to meet criteria, or were duplicates or less relevant for PRO information reported. Thus, 25 articles were reviewed in detail for this evaluation. Eleven PRO instruments were identified from these publications. The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Core (EORTC QLQ-C30) was utilized the most frequently (n = 13, 52.0%). Most publications reported PROs positioned as secondary endpoints (n = 20, 80.0%); described some of the statistical analyses applied to PRO data (n = 21, 84.0%); and specified PRO results (n = 23, 92.0%).

CONCLUSIONS

While several of the publications provided some information on how PROs were utilized, many did not describe details for PRO administration, scoring, analyses, and results interpretation. While it is encouraging that PROs are often used in clinical trials for patients with metastatic breast cancer, they are not commonly used to support endpoints that establish the basis for label claims. Because they yield direct insight into the patient experience of a condition, PROs may be used to provide a more comprehensive perspective of the benefits and risks from treatment.

Long-term health status as measured by EQ-5D among patients with metastatic breast cancer: comparison of first-line oral S-1 and taxane therapies in the randomized phase III SELECT BC trial

Purpose

The goal of chemotherapy for metastatic breast cancer (MBC) is to prolong survival and maintain health-related quality of life. This study aimed to evaluate long-term health status of patients with MBC who participated in the phase III randomized SELECT BC trial.

Methods

In the SELECT BC trial, patients were randomly allocated to the S-1 or taxane (paclitaxel or docetaxel) arm. Health status was assessed by EQ-5D at pre-treatment, 3 and 6 months after randomization, and every 6 months thereafter to the extent possible. Least square mean scores were assessed to compare EQ-5D index values between groups. Time to deterioration analysis was also performed by defining the minimally important difference of EQ-5D as 0.05 or 0.1.

Results

The number of patients for EQ-5D analysis was 175 and 208 in the taxane and S-1 arms, respectively. Least square mean EQ-5D index values up to 60 months were 0.741 (95 % CI [0.713–0.769]) in the taxane arm and 0.748 [0.722–0.775] in the S-1 arm. The EQ-5D index value during PFS up to 12 months in the S-1 was superior to the corresponding index value in the taxane (0.812 [0.789–0.834] vs. 0.772 [0.751–0.792], P = 0.009). Time to deterioration analysis also revealed that S-1 significantly delayed the deterioration of EQ-5D index value during the period before progression (P = 0.002 and 0.003).

Conclusions

Our findings suggest that the EQ-5D index value was higher in patients treated with S-1 during first-line chemotherapy. Considering non-inferiority of S-1 in terms of OS, obtained quality-adjusted life years may be greater in the S-1 arm.

Over-treatment in metastatic breast cancer

Metastatic breast cancer is an incurable disease and the main goals of treatment are prolongation of survival and preservation/improvement of quality of life. Thus the main philosophy of treatment should be to use the least toxic methods, as long as they provide sufficient disease control. In ER-positive tumours this can be in many cases achieved by endocrine therapy; in HER2-positive cancers efficacy of backbone therapy can be enhanced by an anti-HER2 agent. In patients requiring chemotherapy, consecutive single agent regimen provide disease control of a duration at least comparable to multidrug regimen, at a cost of significantly lower toxicity and are a preferred strategy in the majority of cases. Available data demonstrate, however, that aggressive chemotherapy is still overused in many metastatic breast cancer patients. The objective of this manuscript is to critically review available data on treatment choices and sequence in metastatic breast cancer across all breast cancer subtypes in relation to possible overtreatment, including therapies which are not recommended by current guidelines or not even approved. Our aim is to provide guidance on applying these data to clinical practice, but also to describe various, often non-scientific factors influencing therapeutic decisions in an aim to identify areas requiring educational and possibly political actions.