Abstract
Background/Aim: Risk factors for chemotherapy-induced nausea and vomiting (CINV) with anthracycline-containing regimen for breast cancer patients remain unknown. The risk factors for CINV with FEC100 were investigated. Patients and Methods: Data on CINV events and patient backgrounds of 180 patients were collected from the first cycle of FEC100 treatment. In this regimen, patients were administered various antiemetics (ADs). The combinations of ADs were classified into four categories, while body mass index (BMI) was stratified into three categories. Risk factors were selected based on patient characteristics and combination of ADs. Risks for CINV were analyzed by univariate and multivariate analyses. Results: In the univariate analysis of nausea, BMI was a significant factor, while BMI and combination of ADs were significant in vomiting. In the multivariate analysis concerning nausea, BMI was a significant factor. In the analysis concerning vomiting, the combination of ADs and BMI were significant. Conclusion: BMI was the most important risk factor for nausea and vomiting, while the combination of ADs was for vomiting.
In 1978, Rosal et al., first showed that postoperative chemotherapy with cyclophosphamide plus methotrexate plus 5-fluorouracil (CMF) reduced recurrence and survival in patients with breast cancer compared to surgery alone (1). Since the 1980s, anthracycline-containing regimens have taken the place of CMF as standard chemotherapy (2-8). As its anticancer effect is still high, it is one of the standard treatment options for breast cancer patients. However, control of chemotherapy-induced nausea and vomiting (CINV) for those who receive anthracycline-based treatment is a most important supportive measure even now.
We conducted a clinical trial to investigate whether or not addition of bisphosphonates led to a superior clinical outcome in the neoadjuvant setting (JONIE study) (9). In this study, the FEC100 regimen was used in the initial treatment. The primary endpoint of this study was the pathological complete response (pCR) rate following neoadjuvant chemotherapy. However, during chemotherapy, data concerning nausea and vomiting grade were also collected.
Although we defined the dose of anticancer drugs, the timing and the dose reduction protocol, as well as the selection of antiemetic agents were scheduled depending on each physician's personal preference. For these reasons, we speculated that the combination of antiemetic agents may be one significant factor affecting the CINV grade. To test this hypothesis, we investigated the relationship between CINV and patient characteristics and the combination of antiemetic drugs. The purpose of this study was to elucidate the risk factors for CINV in patients undergoing FEC100 treatment.
Patients and Methods
Study design and patients. A randomized controlled trial was conducted to evaluate the efficacy of zoledronic acid (ZOL) in the neoadjuvant setting for breast cancer patients (JONIE study) (9). From March 2010 to June 2012, 188 patients were recruited to the JONIE study. An outline of the study design is shown in Figure 1. The eligibility criteria have been described in our previous publications (9,10). The raw data from 180 patients in the JONIE study were available for analysis in this study.
Treatment. In the JONIE study, four cycles of FEC100 (5-fluorouracil 500 mg/m2, epirubicin 100 mg/m2, cyclophosphamide 100 mg/m2) were administered by intravenous infusion every 3 weeks followed by 12 cycles of paclitaxel at 80 mg/m2 by intravenous infusion weekly in the groups treated with and without ZOL. Study participants were stratified into two groups: i) a chemotherapy plus zoledronic acid (CTZ) group and ii) a chemotherapy alone (CT) group.
In the CTZ group, ZOL (4 mg) was administered by intravenous infusion on day 1 of every FEC treatment cycle. Following the completion of the FEC therapy, ZOL was also administered three times every 4 weeks during weekly paclitaxel treatment (Figure 1).
Variables. Table I shows the variables used in this study: i) age at randomization, ii) menopausal status, iii) tumor-node-metastasis (TNM) stage, iv) lymph node metastasis, v) type of study treatment, vi) combination of antiemetic drugs and vii) BMI.
Age at randomization was divided into four categories: i) 39 years old or less, ii) 40 to 49 years inclusive, iii) 50 to 59 years inclusive and iv) 60 years old or more. TNM staging was also divided into four categories: i) IIA, ii) IIB, iii) IIIA and iv) IIIB.
Study treatment was divided into: i) the CTZ group and ii) the CT group. Various types of antiemetic agents were administered in the first cycle of the FEC100 regimen in this study. The antiemetic drugs were combined into four categories: i) Dexamethasone (DEX) + 5-HT3 receptor antagonist (5-HT3) + neurokinin-1 receptor antagonist (NK1), ii) DEX+5-HT3, iii) DEX+5-HT3+ dopamine receptor antagonist (DRA) and iv) DEX+5-HT3+NK1+DRA.
BMI was stratified into three categories: i) less than 18.5, ii) 18.5 or more but less than 25, and iii) 25 or more.
Outcomes. The outcomes of this study were defined as two event occurrences: i) nausea and ii) vomiting, and were evaluated separately. Each adverse event (AE) was graded according to CTCAE version 3.0(11). No AEs was defined as grade 0 and grades 1 to 3 were positive AEs. All AEs were estimated based on the worst symptoms experienced during the first cycle of FEC100 treatment. We did not divide these AEs into acute (occurring within 24 hours) and delayed (24 hours or later) phase emesis.
Ethics. The study was performed in accordance with the International Conference on Harmonization guidelines concerning Good Clinical Practice (12) and the Declaration of Helsinki (13). Furthermore, it was approved by the institutional review board of every participating institution and all patients showed their willingness to take part in the JONIE study by providing a written informed consent. This study was registered at the University Hospital Medical Information Network as UMIN000003261 (www.umin.ac.jp/english/).
Statistical analysis. Univariate analysis was performed to clarify the relationship between CINV and candidate factors. Pearson's Chi-square or Fisher's exact tests were performed to compare the proportions of several groups for discrete variables. The Mann–Whitney U-test was used to test the equality of distribution of the two groups for continuous and ordered variables. Univariate logistic regression analysis was performed to calculate the odds ratio (OR) for each factor. Multiple logistic regression analysis using the forward stepwise method was carried out to elucidate the significant risk factors for nausea and vomiting.
p-Values of less than 0.05 were considered to indicate statistical significance. All estimation and testing was performed using SPSS software, version 17.0 (SPSS Inc., Chicago, IL, USA).
Results
Median age (25th percentile, 75th percentile) of 180 patients were 49 (43, 58), and eighty-eight patients underwent CTZ treatment. The numbers of patients suffering from nausea and vomiting were 84 and 27, respectively.
Table II shows the results of cross tabulation between clinical characteristics and nausea. Analysis by Chi-squared test and Mann–Whitney U-test indicated that BMI significantly associated with the occurrence of nausea; that is, patients with a BMI of less than 18.5 were more likely to experience nausea.
Similarly, the results of univariate analysis for the outcome of vomiting are shown in Table III. The combination of antiemetics and BMI were variables significantly associated with the occurrence of vomiting. In particular, the occurrence rates in the DEX+5-HT3 and DEX+5-HT3+DRA groups were 23.8% and 32.0%, respectively, which were considerably higher compared to the rates of 7.1% and 13.3% in the DEX+5-HT3+NK1 and DEX+5-HT3+NK1+DRA groups, respectively. Moreover, the patient group with the lower BMI had a higher occurrence rate of vomiting.
In univariate logistic regression analysis of nausea, the chi-square test and Fisher's exact test showed that menopausal status, lymph node metastasis and type of study treatment were not statistically-significant variables. The Mann–Whitney U-test revealed that age at randomization, TNM stage and combination of antiemetics were not significantly related to the incidence of nausea, while BMI was the only significant variable (p=0.002) (Table II).
Compared to the control group (BMI of 18.5 or more but less than 25), the group with BMI less than 18.5 showed a significantly higher risk of nausea (p=0.002) and the OR of BMI less than 18.5 was 7.745 [95% confidence interval (95%CI)=2.171-27.634] (Figure 2).
On the other hand, in univariate logistic regression analysis of vomiting, chi-square test and Fisher's exact test showed that menopausal status, lymph node metastasis and type of study treatment were not statistically-significant variables. The Mann–Whitney U-test showed that age at randomization and TNM stage were not significant, whereas the combination of antiemetics and BMI were significant variables, with p-Values of 0.009 and 0.008, respectively (Table III). Furthermore, as the combination of antiemetics in the DEX+5-HT3+NK1 group was the control combination, the ORs of the DEX+5-HT3 group and the DEX+5-HT3+NK1+DRA group were 4.502 and 6.118 (95%CI=1.427-11.569 and 1.959-19.108), respectively (Figure 3). In addition, compared to the control group (BMI of 18.5 or more to 25), BMI of less than 18.5 showed a significantly higher risk of vomiting (p=0.008), and the OR of BMI of less than 18.5 was 3.946 (95%CI=1.425-10.923) (Figure 3).
Multiple logistic regression analysis for nausea indicated that the BMI category of less than 18.5 had a p-Value of 0.002, while the OR was 7.745 (95%CI-2.171-27.634) compared to the control BMI as baseline. This result was the same as the result of the univariate analysis of nausea. Thus a BMI of less than 18.5 was associated with a 7.745-times higher incident risk of nausea. However, a BMI of 25 or more showed no significant association (p=0.286) (Figure 2).
On the other hand, in multiple logistic regression analysis for vomiting, BMI and the combination of antiemetic drugs were significant variables, with p-Values of 0.025 and 0.023, respectively. The OR of BMI less than 18.5 was 3.481 (95%CI=1.183-10.241, p=0.023) compared to the control BMI group. However, a BMI of 25 or more was not significant, indicating that a BMI of less than 18.5 was associated with a 3.481-times higher incident risk of vomiting.
Meanwhile, the p-Value of the combination of antiemetics was 0.023. ORs in the DEX+5-HT3+DRA group and the DEX+5-HT3 group were 5.005 (95%CI=1.543-16.239, p=0.007) and 4.178 (95%CI=1.428-12.222, p=0.009) compared to the DEX+5-HT3+NK1 group as baseline. This indicates that treatment with DEX+5-HT3+DRA or DEX+5HT3 was associated with a 5.005 and 4.148-times higher incident risk of vomiting, respectively, compared to DEX+5-HT3+NK1 treatment (Figure 4).
With regards to vomiting, we also conducted another analysis. Because the categories of antiemetic drug combinations were complicated and hard to understand, we re-stratified the treatments into two categories: i) an NK1-containing group and ii) a no-NK1 group. After re-categorizing, this factor was included as a risk factor. In this additional study, BMI and antiemetic combination were significant variables for vomiting in the multivariate analysis. The p-Values of antiemetic combination and BMI were 0.002 and 0.025, respectively. The OR of the no-NK1-containing group was 3.906 (95%CI=1.621-9.434, p=0.002). This result revealed that antiemetic drug combinations without NK1 resulted in a 3.906-times higher risk of vomiting compared to NK1-containing combinations. The OR of BMI less than 18.5 was 3.639 (95%CI=1.251-10.586, p=0.018) compared to the control BMI group; however, BMI of 25 or more was not significant (Figure 5).
Discussion
This study involved post-hoc analysis of the data from the JONIE study. Endpoints of this study were as follows. First, it aimed to investigate significant risk factors for nausea and vomiting by univariate analysis among the first cycle of FEC100 treatment. Second, significant factors identified by univariate analysis were examined by multivariate analysis.
With regard to nausea, BMI was the most important risk factor. Despite antiemetic drug support, low body-weight patients were more likely to experience nausea compared to standard or overweight patients. On the other hand, with regard to vomiting, both BMI and the combination of antiemetic drugs were significant risk factors. To simplify the effect of antiemetic drugs, we opted to select according to whether NK1 was added or not as a prognostic factor, and found that low BMI and no NK1 were risk factors for vomiting. NK1-containing antiemetic regimens were associated with a 3.906-times lower vomiting risk compared to regimens without NK1.
Risk factors for CINV have been investigated in many studies (14-17). Sekine et al., have investigated risk factors for CINV in 1,549 chemotherapy-naïve patients. They revealed that female gender, younger age (<55 years old), non-habitual alcohol consumption and non-smoking were associated with treatment failure in the acute phase. On the other hand, only female gender was associated with treatment failure in the delayed phase (14). Warr also reviewed prognostic factors for CINV. He associated risk of CINV with type of antiemetic drugs, anxiety, expectation, concomitant administration of opioids and concomitant administration of serotonin specific reuptake inhibitors (SSRI) (15). However, in his review, low body weight and additional administration of NK1 were not mentioned as risk factors for CINV.
Hesketh et al., conducted a randomized controlled trial to estimate the effectiveness of aprepitant-containing antiemetic drug regimens in CINV. They compared a DEX+5-HT3+NK1 group to a DEX+5-HT3 group and assessed the relationship between other risk factors and CINV. They found that NK1-containing regimens, male gender, lower cisplatin dose, older age (65 years or more), and five or more alcoholic drinks per week were significantly associated with improved complete response (16). Lorusso et al., have recently emphasized that it is important to use DEX+NK1 (netupitant) and 5-HT3 (palonosetoron) in patients with anthracycline plus cyclophosphamide (AC)-based chemotherapy (17). Their result that NK1-containing regimens were a significant factor was consistent with our study. However, age was not a significant factor in our study.
There have only been a few studies into the relationship between body weight and CINV. Davidson et al., have investigated the relationship between malnutrition and CINV during chemotherapy in Australian patients. They concluded that 26% of patients were malnourished during chemotherapy. Furthermore, CINV had a significant relationship with intake limitation. Among participants, obese or overweight patients (BMI ≥25) tended to experience body weight loss (18). This result contrasts with the findings of our study. This may be because they enrolled only a small number of low BMI patients in the study. Among the Australian population, only 2.1% of females aged 18 years or more was underweight (BMI<18.5) in 2014 (19). On the other hand, 11.7% of participants were categorized as underweight in our study. Our study is the first to report a relationship between low BMI and CINV incidence. However, it will be necessary to further investigate why thin women tend to have a high incidence of CINV.
Our study has some important limitations. First, the present study involved post-hoc research of the JONIE study. This resulted in a non-randomized study of the antiemetic combinations. According to the American Society of Clinical Oncology (ASCO) antiemetic guidelines in 2011 (20, 21), DEX+5HT3+NK1 was recommended for AC-containing regimens. Moreover, the JONIE study recruited patients from 2010 to 2012 (9, 10). During the recruiting period, the ASCO antiemetic guidelines were updated from the 2006 first edition (22) to the 2011 update. Under these circumstances, various antiemetic combinations had to be provided in each institute. However, over half (54.4%) of patients were administered 2011 guideline-adherent antiemetics. Second, we were unable to record CINV events in the early and delayed phases separately, because we did not consider collecting detailed CINV data before starting the JONIE study protocol.
In conclusion, BMI was a significant prognostic factor for nausea with FEC100 treatment, while both BMI and antiemetic combination were significant prognostic factors for vomiting. In other words, lower BMI was a significant risk factor for both nausea and vomiting. NK1-containing antiemetic regimens were the best combination to prevent nausea. ASCO, National Comprehensive Cancer Network (NCCN) and Multinational Association of Supportive Care Cancer/European Society of Medical Oncology (MASCC/ESMO) antiemetic guidelines recommend DTX+5HT3+NK1+olanzapine for AC-containing regimens to prevent CINV (23-27). Further investigation will be needed to ascertain the efficacy of the current guidelines in patients with low BMI.
Acknowledgements
The Authors would like to thank all patients and their families for participation of the study. The Authors would also like to thank Mari Watanabe for supporting statistical analysis. This research did not receive any specific grant from funding agencies in public, commercial, or not-for-profit sectors.
Footnotes
Authors's Contribution
Study Conception bc by MH, KA, KN, KK,NK and study design by NK, KA, MH, YH, JH, DM, TI, ST, MM, MS, TK, HT. Acquisition of data was by MH, YH, JH, DM, TI, ST, SJK, KY, MM, MK, YS, MS, TT, TK, KY, KN, NK. MH, KA, and NK drafted and revised the manuscript. All authors have revised and approved the final version.
Conflicts of Interest
MH received funding from Chugai, Daiichi Sankyo, Eisai, Pfizer, Taiho for contracted or investigator initiated research. This money was paid to Dokkyo Medical University. TI received funding from Chugai, Daiichi Sankyo, Eisai, Kyowa Kirin, Lilly, Pfizer, Sanofi, Shionogi, Taiho for contracted or investigator-initiated research. This money is paid to Tokyo Medical University. KY received funding from Eisai for contracted or investigator initiated research. This money was paid to Shinko Hospital. TT received funding from Chugai, Daiichi Sankyo, Eisai, Kyowa Kirin, Taiho for contracted or investigator initiated research or honoraria (lecture fee). This money is paid to Kyoto Prefectural University of Medicine. HT received funding from Ono, Sysmex, Taiho for contracted or investigator-initiated research. This money was paid to Kobe University. KY received funding from Chugai, Daiichi Sankyo, Eisai, Kyowa Kirin, Taiho for contracted or investigator-initiated research. This money was paid to Tokyo Medical University. NR received funding from Chugai, Daiichi Sankyo, Eisai, Taiho for contracted or investigator-initiated research. This money was paid to Yokohama City University. Other authors have no competing interests to declare.
- Received June 3, 2019.
- Revision received June 30, 2019.
- Accepted July 2, 2019.
- Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved