Complementary and Alternative Medicine Use and Breast Cancer Prognosis: A Pooled Analysis of Four Population-Based Studies of Breast Cancer Survivors

Abstract

Background:

Complementary and alternative medicine (CAM) use is common among breast cancer survivors, but little is known about its impact on survival.

Methods:

We pooled data from four studies conducted in Hawaii in 1994–2003 and linked to the Hawaii Tumor Registry to obtain long-term follow-up information. The effect of CAM use on the risk of breast cancer-specific death was evaluated using Cox regression.

Results:

The analysis included 1443 women with a median follow-up of 11.8 years who had a primary diagnosis of in situ and invasive breast cancer. The majority were Japanese American (36.4%), followed by white (26.9%), Native Hawaiian (15.9%), other (10.6%), and Filipino (10.3%). CAM use was highest in Native Hawaiians (60.7%) and lowest in Japanese American (47.8%) women. Overall, any use of CAM was not associated with the risk of breast cancer-specific death (hazard ratio [HR] 1.47, confidence interval [CI] 0.91-2.36) or all-cause death (HR 0.82, 95% CI 0.63-1.06). However, energy medicine was associated with an increased risk of breast cancer-specific death (HR 3.19, 95% CI 1.06-8.52). When evaluating CAM use within ethnic subgroups, Filipino women who used CAM were at increased risk of breast cancer death (HR 6.84, 95% CI 1.23-38.19).

Conclusions:

Our findings suggest that, overall, CAM is not associated with breast cancer-specific death but that the effects of specific CAM modalities and possible differences by ethnicity should be considered in future studies.

Introduction

The prevalence of complementary and alternative medicine (CAM) use in breast cancer survivors is estimated to be between 48% and 70% in the United States.¹ Given the highly prevalent use of CAM, it is especially important to understand how CAM use impacts outcome measures, such as survival, in this population. Prior studies of CAM in cancer patients have largely focused on correlates of CAM use^{2

–10} and quality of life outcomes.^11

–16 The limited number of studies that have evaluated the association of CAM use with survival have reported conflicting results.^17

–20 Many such studies have had limited sample sizes, short follow-up periods, or methodologic issues.^{5,21

–27}

Differences in the prevalence and type of CAM across ethnic groups have been reported.^5,23

–26 In a study of 379 women with recently diagnosed breast cancer, Chinese women were most likely to use herbal remedies, African Americans were most likely to use spiritual healing, and non-Hispanic white and Hispanic white women were most likely to use dietary methods.⁵ Another study of breast cancer patients in California showed that Hispanic white and African American women used natural products other than botanical supplements more frequently than did Latina and Asian American women and that the use of special diets was more common among Latina women than in other ethnic groups.²⁵

Because of the large number of residents with Asian and Pacific Islander ancestry in Hawaii, previous research studies conducted in the State of Hawaii have included substantial numbers of these individuals. In this study, we pooled data from four population-based studies of ethnically diverse breast cancer survivors in Hawaii. Given the high prevalence of CAM use among women diagnosed with breast cancer and differences in use across ethnic groups, our aim was to establish how different CAM modalities may impact the relative risk of death due to breast cancer as well as breast cancer-specific survival in a large population-based sample and to explore potential differences across ethnic groups.

Materials and Methods

We included in situ and invasive female breast cancer cases from four population-based studies of cancer survivors^28

–33; the subjects were diagnosed during the years 1964–1999 in Hawaii. Subjects with missing data on CAM modality, education, tumor, node, metastasis (TNM) stage, surgery, chemotherapy, heart disease, or diabetes were excluded (n=30), resulting in 1443 women for the analysis. Data on demographic characteristics included age at diagnosis, ethnicity, education, marital status, and birthplace. Clinical characteristics included the presence of heart disease, diabetes, year of diagnosis, TNM stage, and receipt of surgery, chemotherapy, radiation therapy, and hormone therapy. Information on survival and cause of death was obtained by linkage to the Hawaii Tumor Registry, which is part of the National Cancer Institute's (NCI) Surveillance, Epidemiology, and End Results (SEER) program. Follow-up was through December 31, 2010.

Definitions of CAM have changed over time, and the National Center for Complementary and Alternative Medicine (NCCAM) currently categorizes CAM into five modalities: mind-body medicine (mind), manipulative and body-based practices (body), biologically based products (nature), energy medicine (energy), and whole medical systems (WMS).³⁴ Mind-body medicine focuses on the link among mind, body, and behavior and includes meditation, yoga, tai chi, and hypnotherapy. Manipulative and body-based practices focus primarily on the body's structures (e.g., soft tissue, bones) and systems (circulatory, lymphatic) and include massage therapy and spinal manipulation. Biologically based products include herbs/botanicals, probiotics, and high-dose vitamins. Energy medicine focuses on the manipulation of energy fields and includes magnet therapy and Reiki. Finally, WMSs incorporate elements from the first five categories and include ancient healing systems, such as Ayurveda and traditional Chinese medicine, as well as more contemporary systems, such as homeopathy and naturopathy.

Table 1 summarizes the four studies and the types of CAM questions that were asked. The four studies were: (1) Quality of Life in Cancer Patients in Hawaii (QOL), the objective of which was to develop, validate, and pilot test an instrument appropriate to assess cancer-related quality of life among the culturally diverse cancer patient population in Hawaii,^28,30
–32 (2) Beating the Odds: A study of Patients Who Exceed Expected Survival Times (BTO), a study of individuals who were long-term survivors of cancers that are generally associated with poor survival,³³ (3) Quality of Life in Patients Who Develop Subsequent Primaries (SP), a study that described the psychologic impact among people experiencing more than one primary cancer,²⁹ and (4) Exploratory Study of Treatment Decision Making in Multiethnic Breast Cancer Patients (TDM), a study that focused on how patients make decisions about their breast cancer treatments. Two studies, BTO and SP, asked subjects: Which of the following remedies have you used for your cancer? and were given seven choices plus an open-ended other. One study, QOL, asked subjects if they used CAM currently or in the past and allowed both open-ended and coded answers. The fourth study, TDM, asked subjects if they used any of 12 CAM modalities plus an open-ended other. None of the patients participated in more than one study. Information on CAM use from each study was combined and categorized according to the NCCAM categories (mind-body medicine, manipulative and body-based practices, biologically based products, energy medicine, and whole medical systems) described previously.³⁴

Table 1.

Summary of the Four Population-Based Studies Included in Current Pooled Analysis

Study	Population	n	Ethnicity distribution	CAM question	% CAM users
Quality of life in cancer patients (QOL)	Patients 5–6 months post-diagnosis	118	35 Caucasian	Patients asked if they used CAM currently or in the past (open-ended and coded)	39.8
	Study conducted: 1994–1997		16 Hawaiian
	Years of diagnosis: 1994–1996		54 Japanese
			12 Filipino
			1 Other
Beating the Odds (BTO)	Patients surviving dire prognosis and controls	47	11 Caucasian	Which of the following remedies have you used for your cancer?” (7 choices plus other)	85.1
	Study conducted: 1998–2001		9 Hawaiian
	Years of diagnosis: 1978–1993		17 Japanese
			5 Filipino
			5 Other
Subsequent Primaries (SP)	Patients developing >1 primary cancer and controls	463	109 Caucasian	Patients asked if they had ever used each of 7 CAM modalities (plus open-ended other) and, if so, whether before diagnosis or during treatment and how satisfied they were	73.2
	Study conducted: 1999–2003		72 Hawaiian
	Years of diagnosis: 1964–1999		200 Japanese
			36 Filipino
			46 Other
Treatment Decision Making (TDM)	Patients 2 years postdiagnosis	815	233 Caucasian	Patients asked if they used any of 12 CAM remedies (plus open-ended other) before diagnosis, for cancer, during treatment, and how satisfied they were	40.2
	Study conducted: 2000–2003		132 Hawaiian
	Years of diagnosis: 1997–1999		254 Japanese
			95 Filipino
			101 Other

CAM, complementary and alternative medicine.

Statistical analysis

Prevalence of CAM use by demographic and clinical characteristics was estimated for all cases (in situ and invasive) of breast cancer. Chi-square tests were used to assess differences in CAM use by ethnicity. Cox regression models were used to estimate the relative hazard of death due to breast cancer and corresponding 95% confidence intervals (CI) by categories of CAM. Multivariable-adjusted survival curves using death due to breast cancer as the censoring event were determined by categories of CAM using the Breslow (or cumulative hazards) method. The final regression model was stratified by study and ethnicity and was further adjusted for continuous age at diagnosis, heart disease (no/yes), diabetes (no/yes), TNM stage (0, I: reference, II, III/IV), education (no college: reference, some college, college degree), surgery (no/yes), and chemotherapy (no/yes). Birthplace, radiation therapy, hormone therapy, and marital status were not associated with the risk of breast cancer death and were, therefore, excluded from the final model. Assuming a 12-year follow-up time, a two-tailed type I error rate of 0.05, and 1,443 participants, we had 80% power to detect a hazard ratio (HR) equal to 1.8. All analyses were performed using SAS version 9.3. All p values were two-sided.

Results

The median follow-up time was 11.8 years (range 0.7–37.6 years). The four studies included 1443 breast cancer cases (227 in situ), with the greatest number of cases (n=815) from the TDM study (Table 1). The prevalence of CAM use varied by study, with the lowest prevalence (39.8%) in TDM and the highest prevalence (85.1%) in the BTO study.

For all studies combined, 26.9% of participants were white, 15.9% were Native Hawaiian, 36.4% were Japanese American, 10.3% were Filipino, and 10.6% were classified as other (Table 2). The prevalence of any CAM use tended to be highest in younger women (p<0.01), women diagnosed with localized disease (p<0.01), women with diabetes (p<0.01), and women who underwent chemotherapy as part of first-course treatment (p=0.04) (Table 2). The use of any CAM was highest in Native Hawaiians (60.7%) and lowest in Japanese American (47.8%) women (p=0.02). Within specific CAM modalities, Native Hawaiian women had the highest prevalence of mind-body-based medicine use (55.0%), and Japanese American women had the lowest (35.2%, p<0.01). Filipino, Native Hawaiian, and white women tended to use WMS (25.0%, 24.9%, and 24.2%, respectively) more frequently than women of ethnicities other than white, Native Hawaiian, Japanese, and Filipino (17.7%, p<0.01).

Table 2.

Prevalence of Complementary and Alternative Medicine Use by Demographic and Clinical Characteristics (n=1,443)

Characteristic	n	%	CAM	Body	Mind	Nature	Energy	WMS
Age at diagnosis
25–49	430	29.8	60.5	10.5	49.5	34.9	14.0	30.2
50–59	384	26.6	52.6	5.7	41.9	23.4	9.9	21.4
60–69	373	25.8	48.3	5.4	35.1	24.9	7.2	19.0
70–95	256	17.7	43.8	3.9	34.8	19.9	5.5	16.0
Ethnicity
Caucasian	388	26.9	52.1	9.5	39.2	27.8	13.7	24.2
Hawaiian	229	15.9	60.7	7.4	55.0	24.5	11.8	24.9
Japanese	525	36.4	47.8	5.5	35.2	28.6	5.1	20.8
Filipino	148	10.3	52.0	6.1	44.6	24.3	10.1	25.0
Other	153	10.6	55.6	3.3	42.5	22.2	11.1	17.7
Education
No college	497	34.4	48.9	6.2	38.0	22.7	5.6	17.7
Some college	476	33.0	53.6	4.6	43.5	27.1	9.7	23.1
College degree	470	32.6	54.5	9.4	42.1	30.2	13.8	26.8
Heart disease
No	1282	88.8	52.7	6.5	41.7	26.9	9.8	22.9
Yes	161	11.2	48.5	8.7	36.7	24.2	8.1	18.6
Diabetes
No	1227	85.0	50.6	6.7	39.3	26.2	9.6	21.4
Yes	216	15.0	61.6	6.9	51.9	29.2	9.7	28.7
TNM stage
Stage I	829	57.4	50.3	6.5	40.5	25.1	9.2	21.5
Stage II	157	10.9	59.9	4.5	47.1	30.6	9.6	24.8
Stage III–IV	230	15.9	60.4	10.9	48.3	32.6	13.5	30.0
In situ	227	15.7	45.8	4.9	32.2	23.4	7.5	16.7
Surgery
No	13	0.9	61.5	0.0	31.0	15.4	23.1	7.7
Yes	1430	99.1	52.2	6.8	41.3	26.7	9.5	22.6
Chemotherapy
No	1072	74.3	50.7	5.9	39.7	24.6	8.8	20.8
Yes	371	25.7	56.9	9.2	45.3	32.4	12.1	27.2
Vital status
Alive	1141	79.1	52.3	7.0	40.9	27.1	9.7	22.9
Death (breast cancer)	89	6.2	65.2	10.1	47.2	37.1	18.0	30.3
Death (other)	213	14.8	46.5	3.8	39.9	19.7	5.6	16.9

TNM, tumor, node, metastasis; WMS, whole medical system.

In a minimal model that adjusted for age at diagnosis and stage and included study and ethnicity as strata variables, ever use of CAM was associated with a higher risk of breast cancer-specific death (HR 1.61, 95% CI 1.01, 2.56) but not all-cause mortality (Table 3). However, in the full model that adjusted for age, education, heart disease, diabetes, surgery, chemotherapy, TNM stage, and year of diagnosis and included study and ethnicity as strata variables, the associations for both end points were no longer significant. When we assessed specific CAM modalities, the use of biologically based products (HR 2.23, 95% CI 1.05-4.70) and energy medicine (HR 3.19, 95% CI 1.17-8.75) were significantly associated with an increased risk of breast cancer-specific death in the minimal model (Table 3). In the full model, only energy medicine predicted breast cancer-specific death (HR 3.01, 95% CI 1.06-8.52). None of the CAM modalities were associated with the risk of all-cause death. Restricting the analyses to invasive cases only did not change the results (data not shown). When ethnicity was included in the model as a covariate rather than a strata variable, the risk of breast cancer-specific death did not differ for that of any of the ethnic groups relative to white women; however, Japanese American women had half the risk of all-cause death (HR 0.50, 95% CI 0.37-0.68) relative to white women (data not shown).

Table 3.

Relative Hazard of Breast Cancer-Specific and All-Cause Death by Complementary and Alternative Medicine Use

	Death due to breast cancer					Death due to any cause
	Model 1 ^a			Model 2 ^b		Model 1 ^a			Model 2 ^b
	n₁ ^c	HR	95% CI	HR	95% CI	n₂ ^c	HR	95% CI	HR	95% CI
Any CAM use
Never	31	1.00	Reference	1.00	Reference	145	1.00	Reference	1.00	Reference
Ever	58	1.61	1.01-2.56	1.47	0.91-2.36	157	0.94	0.73-1.22	0.82	0.63-1.06
Specific CAM
None	31	1.00	Reference	1.00	Reference	145	1.00	Reference	1.00	Reference
Body	0	∼	∼	∼	∼	1	0.71	0.10-5.13	0.48	0.07-3.49
Mind	15	1.12	0.59-2.11	1.05	0.55-2.00	65	0.90	0.66-1.24	0.82	0.59-1.14
Nature	11	2.23	1.05-4.70	1.95	0.91-4.17	19	0.90	0.66-1.24	0.70	0.42-1.17
Energy	5	3.19	1.17-8.75	3.01	1.06-8.52	9	1.50	0.74-3.04	1.31	0.64-2.71
WMS	27	1.75	0.99-3.09	1.07	0.58-1.96	63	0.97	0.70-1.36	0.82	0.58-1.16

Model 1: adjusted for age and TNM stage; study and ethnicity as strata variables.

Model 2: adjusted for Model 1+education, heart disease, diabetes, surgery, chemotherapy, and year of diagnosis; study and ethnicity as strata variables.

n₁, number of breast cancer deaths; n₂, number of deaths.

CI, confidence interval; HR, hazard ratio.

In fully adjusted subgroup analyses by ethnicity, ever use of CAM was associated with an increased risk of breast cancer-specific death among Filipino women (HR 6.84, 95% CI 1.23-38.19) but not all-cause death (Table 4). Further subgroup analyses suggested that this was largely attributed to the use of mind-body medicine; Filipino women who used mind-body medicine were at an increased risk of both breast cancer-specific death (HR 10.88, 95% CI 1.51-78.49) and death due to any cause (HR 3.61, 95% CI 1.24-10.48) (data not shown). White women who used biologically based products were at an increased risk of breast cancer-specific death (HR 3.83, 95% CI 1.04-14.20) (data not shown). CAM use was not associated with the risk of breast cancer-specific or all-cause death in any other subgroup.

Table 4.

Relative Hazard of Death for Ever Users of Complementary and Alternative Medicine Compared to Never Users, by Ethnicity

	White			Hawaiian			Japanese			Filipino			Other
	n₁	HR	95% CI	n₁	HR	95% CI	n₁	HR	95% CI	n₁	HR	95% CI	n₁	HR	95% CI
Breast cancer deaths
Never used CAM	10	1.00	Reference	5	1.00	Reference	9	1.00	Reference	2	1.00	Reference	5	1.00	Reference
Ever used CAM	16	1.90	0.80–4.49	7	0.63	0.16–2.55	15	1.17	0.45–3.01	19	6.84	1.23–38.19	8	0.34	0.07–1.68
All-cause deaths
Never used CAM	54	1.00	Reference	22	1.00	Reference	48	1.00	Reference	11	1.00	Reference	10	1.00	Reference
Ever used CAM	43	0.68	0.43–1.08	39	1.16	0.61–2.20	42	0.68	0.41–1.12	18	2.13	0.89–5.11	15	0.39	0.12–1.28

Adjusted for age at diagnosis, education, heart disease, diabetes, surgery, chemotherapy, TNM stage, year of diagnosis, and study and ethnicity as strata variables.

Observed breast cancer-specific and all-cause survival reflected the relative hazard of death estimates (Figs. 1 and 2). At 10 years after diagnosis, breast cancer-specific survival for women using energy medicine was worse than for women using other CAM modalities (Fig. 1). At 25 years after diagnosis, there was greater separation in survival curves, with women using biologically based products and WMS having worse survival than women not using CAM and women who used mind-body medicine. For all-cause survival, women who used manipulative and body-based practices and energy medicine appeared to have worse survival 5 years after diagnosis (Fig. 2). With longer follow-up, all women seemed to have similar all-cause survival.

FIG. 1.

Observed breast cancer-specific survival probability by complementary and alternative medicine (CAM) use. WMS, whole medical system.

FIG. 2.

Observed all-cause survival probability by CAM use.

Discussion

In the current study, we observed differences in the prevalence of CAM use across ethnic groups, both overall and within specific modalities. Women who were diagnosed at later TNM stages, had surgery as part of first-course treatment, and had diabetes were more likely to use CAM. After adjusting for these and other covariates, any CAM use was not associated with breast cancer-specific death or all-cause death. There were some differences in breast cancer-specific mortality by ethnicity and CAM modality. The use of energy medicine, but not the other CAM modalities or any CAM use, was associated with a 3-fold higher risk of breast cancer-specific death. There was also evidence that biologically based products and WMS may be associated with an approximately 2-fold increased risk of breast cancer-specific death, although relative risk estimates did not quite reach statistical significance. Furthermore, we observed possible ethnic differences in the relative risk of death within specific CAM modalities. Multivariable-adjusted survival curves were in line with these results. The mechanisms for these observed differences are unclear.

Our findings that the prevalence of CAM use differs across ethnic groups are consistent with prior studies of breast cancer survivors^5,35 and all cancer survivors.^24,26 The existing studies evaluating CAM use and prognosis have had mixed results,¹ with some suggesting an increased risk of death,^17,19 others suggesting a decreased risk of death,³⁶ but most reporting no association.^18,22,37,38 Inconsistencies may arise because of heterogeneity in the CAM modalities studied, differences in the study populations with respect to clinical, demographic, and other factors that potentially affect prognosis, and nonstandardized definitions of CAM across studies.

Our study had several limitations. Patterns of CAM use among breast cancer survivors may have changed since the four studies in our analysis were conducted. However, although the patterns of CAM use and prognosis for breast cancer patients may have changed in more recent years, the relationship between CAM and prognosis is not likely to have changed substantially. We also did not have information on body mass index (BMI), which is associated with breast cancer prognosis. According to 2007 National Health Interview Survey (NHIS) data, higher BMI was inversely associated with CAM use.³⁹ Therefore, BMI may have biased our estimates toward the null. In the current study, the relative risk of death and survival estimates were adjusted for factors that may be associated with BMI, particularly diabetes, but also ethnicity and education, potentially mitigating the impact of missing BMI information. We also lacked detailed treatment information, and assessment of CAM use varied slightly across the four studies. Finally, some of the subgroups by ethnicity and CAM modality were small, resulting in either unestimable hazard ratios or wide confidence intervals.

Our study had several strengths. To our knowledge, this is the first study to evaluate long-term prognosis by ethnicity and specific CAM modality. By pooling data from four studies, we included nearly 1500 women with breast cancer. Because these women were identified through a population-based cancer registry, annual updates to their vital status could be performed, and the median follow-up time was nearly 12 years. All the studies included in this analysis were conducted in Hawaii and, therefore, included multiethnic participants, who are typically underrepresented in studies of CAM use. By categorizing CAM use according to NCCAM groupings, we achieved greater comparability with past and future studies of CAM.

Conclusions

This analysis suggests that CAM use has little effect on both all-cause death and death due to breast cancer. However, women with more adverse prognostic characteristics, for example, late stage at diagnosis, low education, no surgery, and a diagnosis of diabetes, reported higher CAM use. The increased risk of breast cancer death and worse survival observed for some modalities highlight the need for studies to distinguish between different CAM modalities and to take potential differences by ethnicity into consideration when evaluating the impact of CAM use on prognosis. Because a growing number of breast cancer patients use CAM, the potential benefits and risks of CAM need to be more rigorously studied, particularly because certain CAM therapies may interact with standard treatments. For example, mechanistic and some clinical studies have suggested that antioxidants may have a negative impact on patients receiving cytotoxic therapies. The mechanisms contributing to an increased risk of breast cancer death among women who used energy medicine needs to be better understood, whether it is the CAM itself or correlates of its use. Finally, future studies should consider using standardized definitions of CAM so that studies are more comparable over time.

Footnotes

Disclosure Statement

The authors declare they have no competing financial interests.

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