Open Access Open Badges Research article

Cost-effectiveness of a 21-gene recurrence score assay versus Canadian clinical practice in women with early-stage estrogen- or progesterone-receptor-positive, axillary lymph-node negative breast cancer

Malek B Hannouf1, Bin Xie12, Muriel Brackstone34 and Gregory S Zaric15*

Author Affiliations

1 Department of Epidemiology and Biostatistics. Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada

2 Department of Obstetrics & Gynaecology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada

3 Department of Oncology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada

4 Department of Surgery, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Canada

5 Richard Ivey School of Business, University of Western Ontario, 1151 Richmond St, London, N6C 1A4, Canada

For all author emails, please log on.

BMC Cancer 2012, 12:447  doi:10.1186/1471-2407-12-447

The electronic version of this article is the complete one and can be found online at:

Received:6 December 2011
Accepted:23 September 2012
Published:2 October 2012

© 2012 Hannouf et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.



A 21-gene recurrence score (RS) assay may inform adjuvant systematic treatment decisions in women with early stage breast cancer. We sought to investigate the cost effectiveness of using the RS-assay versus current clinical practice (CCP) in women with early-stage estrogen- or progesterone-receptor-positive, axilliary lymph-node negative breast cancer (ER+/ PR + LN- ESBC) from the perspective of the Canadian public healthcare system.


We developed a Markov model to project the lifetime clinical and economic consequences of ESBC. We evaluated adjuvant therapy separately in post- and pre-menopausal women with ER+/ PR + LN- ESBC. We assumed that the RS-assay would reclassify pre- and post-menopausal women among risk levels (low, intermediate and high) and guide adjuvant systematic treatment decisions. The model was parameterized using 7 year follow up data from the Manitoba Cancer Registry, cost data from Manitoba administrative databases, and secondary sources. Costs are presented in 2010 CAD. Future costs and benefits were discounted at 5%.


The RS-assay compared to CCP generated cost-savings in pre-menopausal women and had an ICER of $60,000 per QALY gained in post-menopausal women. The cost effectiveness was most sensitive to the proportion of women classified as intermediate risk by the RS-assay who receive adjuvant chemotherapy and the risk of relapse in the RS-assay model.


The RS-assay is likely to be cost effective in the Canadian healthcare system and should be considered for adoption in women with ER+/ PR + LN- ESBC. However, ongoing assessment and validation of the assay in real-world clinical practice is warranted.

Breast cancer; Chemotherapy; Cost-effectiveness; 21-gene recurrence score assay


In 2011, an estimated 23,200 women in Canada will be diagnosed with breast cancer [1]. Approximately half of them will be diagnosed with early-stage estrogen- or progesterone-receptor-positive, axillary lymph-node negative breast cancer (ER+/ PR + LN- ESBC) [2]. Standard care for these patients usually includes local therapy (surgery with or without radiation) followed by adjuvant systematic therapy such as endocrine therapy alone (tamoxifen or aromatase inhibitors) or chemotherapy followed by endocrine therapy [3]. Canadian guidelines specify that a patient’s risk of recurrence can be classified as low, intermediate or high and that adjuvant chemotherapy may be added when the benefits of treatment outweigh toxicities of therapy [4]. However, evaluating the risks and benefits of chemotherapy based on the Canadian guidelines is difficult because the histopathologic measures that inform the guidelines are not accurate predictors of risk or benefits of chemotherapy [4-8]. A validated software program Adjuvant!Online (AOL) has been developed that projects outcomes at 10 years to assist oncologists in adjuvant decision-making process. However, AOL is also based on histopathologic measures.

The 21-gene recurrence score assay (Oncotype DX) produces a “tumour signature” reflecting tumour biology and risk of relapse [7,9]. An algorithm produces a continuous variable known as the “recurrence score” (RS) reflecting prognosis, which ranges from 1 (lower risk) to 100 (higher risk), based on the expressions of the 21 genes isolated from tumour samples. Women with a score of less than 18 have a low risk of recurrence and typically have good outcomes from endocrine therapy alone , whereas those with a score of 31 or more have a high risk of recurrence and gain the largest expected benefit from the addition of chemotherapy to endocrine therapy. Women with a score between 18 and 30 have an intermediate risk and do not appear to have a large benefit from chemotherapy but the uncertainty in the estimate cannot exclude a clinically important benefit [9,10].

The prognostic and predictive value of the RS-assay in women with ER+/PR + LN- ESBC was evaluated in retrospective analyses of the National Surgical Adjuvant Breast and Bowel Project (NSABP) chemotherapy-tamoxifen trials (B-14 and B-20) [7,9,11] in the United States. It was shown that among ER+/PR + LN- ESBC patients, approximately, 51% had a low RS, 22% a intermediate RS, and 27% a high RS [7,9,11]. The assay was found to be more accurate than histologic measures alone in predicting the likelihood of breast cancer recurrence (both loco-regional [11] and distant recurrence [7,9]) and patient survival within 10 years of initial diagnosis [9], as well as benefit from adjuvant chemotherapy [9,11]. Additionally, clinical significance of the RS-assay has been reported in the Asian population [12].

In 2007 the RS-assay was recommended in the National Comprehensive Cancer Network and American Society for Clinical Oncology guidelines as “evidence-based” to guide the use of adjuvant chemotherapy in all women with ER+/ PR + LN- ESBC [13,14]. Public coverage of the 21-gene assay is limited and inconsistent across Canada. However, the use of the test with reimbursement mechanisms is likely increasing. It is available in Ontario through “out-of-country health services” which requires a request from an oncologist and pre-approval [15,16]. In 2010 the Ontario Health Technology Advisory Committee (OHTAC) recommended that the assay be made available “within the context of a field evaluation” [17]. It is also available in a limited fashion in British Columbia and Quebec [16]. The test is not widely used and in 2010 less than 1000 patients received the test across Canada [16] but few field evaluations to establish its impact on Canadian practice are ongoing in British Colombia and Ontario.

According to the Annual Report Card of the Cancer Advocacy Coalition of Canada, the RS-assay will cost $4,000 CAD per patient including all Canadian system expenses [15]. Previous cost-effectiveness analyses of the RS-assay in women with ER+/ PR + LN- ESBC in the US [18,19], Japan [20,21], Israel [22] and Canada [23,24] suggested that it is likely to be cost saving or cost effective in this patient group. However, findings from studies in Israel [22] and Japan [19,20] cannot be extrapolated to the Canadian context because of possible variations in clinical practice and different approaches to pricing and reimbursement. Additionally, analyses from the US [18,19] and Canada [23,24] did not use all relevant data and suffer from other limitations as indicated elsewhere [25].

Generation of recommendations for Canadian clinical practice guidelines regarding the use of RS-assay requires a comprehensive health economic evaluation of the assay in the Canadian setting. The purpose of this study was to conduct a cost-effectiveness analysis of the RS-assay versus current clinical practice (CCP) regarding adjuvant chemotherapy treatment in women with ER+/ PR + LN- ESBC from the perspective of the Canadian healthcare system.


Overview of model-structure

We developed a decision analytic model (Figure 1) to project the lifetime clinical and economic consequences of ER+/ PR + LN- ESBC under two different treatment strategies. The model begins with a decision to use the RS-assay or to continue with CCP (Figure 1a). We assumed that each strategy (RS or CCP) classifies patients into three risk levels (low, intermediate and high) and corresponding treatment regimens (endocrine therapy plus chemotherapy or endocrine therapy alone). Patients receiving endocrine therapy alone entered model “E” (Figure 1b) and those receiving chemotherapy plus endocrine therapy entered model “C” (Figure 1c).

thumbnailFigure 1. Decision model for early stage breast cancer.a RS-assay versus Canadian clinical practice±. b Schematic representation of the Markov model structure “E”*‡. c Schematic representation of the Markov model structure “C”†‡.± The risk classification criteria in the Canadian clinical practice arm was based on the Canadian clinical practice guidelines for adjuvant systemic therapy for women with node-negative breast cancer [4] * Patients entering Markov model “E” start the model and remain in the remission state unless they relapse (LR, DR or Dead). † Patients entering Markov model “C” start the model in the remission state with no CSAE. Within the first cycle patients may develop CSAE. These patients will make a transition to the remission state with CSAE. During the first cycle, patients also may transition to DR, LR and Dead states. After the first cycle, patients may remain in the two remission states unless they relapse in to LR DR or Dead. ‡ In both Markov models, patients who developed LR, remain in the LR state or make transition to DR or Dead states. Patients who developed DR remain in the DR state or make transition to the Dead state. The cycle length was 1 month. LR, loco-regional recurrence; DR, distant recurrence; CSAE, chemotherapy-related serious adverse effects.

Model “E” simulated monthly transitions among the following four distinct health states: (1) remission; (2) loco-regional recurrence (LR); (3) distant recurrence (DR); (4) death. Model “C” simulated monthly transitions among the following five distinct health states: (1) remission with no chemotherapy-related serious adverse effects (CSAE); (2) remission with CSAE; (3) LR; (4) DR; (5) death.

We used a lifetime horizon and half cycle correction [26]. Future costs and benefits were discounted at 5% annually following Canadian guidelines [27]. Data collection and analysis involving Manitoba administrative databases (including the Manitoba Cancer Registry, the Hospital Discharge Database, the Physician Claims Database and the Drug Program Information Network) were approved by the University of Manitoba Health Research Ethics Board.

Risk distribution and transition probabilities

The Manitoba Cancer Registry is a provincial database that contains records for more than 99.5% of all cancer patients in Manitoba [28]. Information on breast cancer staging, based on the American Joint Commission on Cancer (version 5), has been collected for breast cancers diagnosed since January 1995 [29]. We used the Registry to identify a study cohort consisting of all pre-menopausal (defined as age <50 years) and post-menopausal (age ≥50 years) women living in Manitoba diagnosed with ER+/ PR + LN- ESBC (stage I/II) during the period from January 1, 2000 to December 31, 2002. Although data on human epidermal growth factor receptor 2 (HER2) status were not collected by the registry during this time frame, the majority of these women are likely HER2 negative since women with HER2 positive are only found in approximately 10% to 15% of endocrine positive breast cancers such as those in our study population [30-34]. We used data from women diagnosed during this period so that a long follow up period would be available. Seven-year follow-up information from the time of diagnosis was available for each patient. This included breast cancer recurrence (LR and DR) and treatments (surgery, radiation therapy, endocrine therapy and chemotherapy). We linked the study cohort identified using the Registry with administrative data held by Manitoba Health and Healthy Living including the Hospital Discharge Database, the Physician Claims Database and the Drug Program Information Network. To protect confidentiality, the linkage in this study was performed, via scrambled health number, using anonymized versions of these databases.

To verify that the proportion of women who received adjuvant chemotherapy in our study cohort would reflect more recent clinical practice regarding adjuvant chemotherapy administration, we examined a second cohort, consisting of all women diagnosed between January 1, 2003 and December 31, 2005 (Table 1). We did not find the proportion receiving adjuvant chemotherapy to differ between the two time periods (chi-square test, level of significance of 0.05) and thus used the earlier time period with longer follow-up data to parameterize the model.

Table 1. Proportion of patient population receiving adjuvant chemotherapy by diagnosis time period and menopausal status

For the CCP model we estimated the risk distribution and proportion receiving chemotherapy within each risk level (Table 2). According to the Canadian clinical practice guidelines, risk can be specified on the basis of tumour size, histologic or nuclear grade, and lymphatic and vascular invasion [4]. The Manitoba Cancer Registry collects this information with the exception of lymphatic and vascular invasion. Given the significant correlation between tumour size and lymphatic and vascular invasion [35], we classified pre- and post-menopausal women for this analysis as belonging to three risk levels (low, intermediate and high risk) on the basis of tumour size and histologic or nuclear grade only. We defined current clinical practice according to the observed administration of adjuvant therapy in the ER+/ PR + LN- ESBC cohort during the study period. We conducted survival analyses using Kaplan-Meier estimates for pre- and post-menopausal women separately, stratified by use of adjuvant chemotherapy, using 7 years of follow up data from the Manitoba Cancer Registry, and used this information to estimate all transition probabilities in the CCP Markov models.

Table 2. Parameter estimates and sources

For the RS-assay model, we derived the risk distribution and monthly transition probabilities from remission to LR, DR and Death over 10 years within each risk level from retrospective analyses of the NSABP chemotherapy-tamoxifen trials (B-14 and B-20) (Table 2) [9,11]. Investigators from the B-14 and B-20 studies provided Kaplan Meier curves for LR, DR and death events stratified by risk level. To account for menopausal status, we adjusted all transition probabilities derived from these summary statistics based on corresponding risk ratios (for LR, DR and death) comparing pre- to post-menopausal women derived from our studied ESBC cohort. The risk ratios were weighted using the menopausal status balance reported in the B-14 and B-20 trials [9,11].

There is still uncertainty as to whether chemotherapy is necessary for women with intermediate risk. Reported usage in this group varies, including estimates of 56% [36], 50% [37], 47% [38], 38% [39], 33% [22], and 26% [40]. In the base case we assumed that 50% of women in the intermediate risk group would receive adjuvant chemotherapy.

There is no data suggesting that outcomes after first relapse are affected by the primary adjuvant therapy received [41]. Thus, we assumed that transition probabilities following first relapse in the RS-assay model would be the same as those in the CCP model.

To extrapolate beyond the follow-up period of the ESBC cohort and the clinical trials used for this study, we assumed that the observed average monthly transition probabilities from remission to LR, DR and Death during the last observed year of follow-up would be constant over the extrapolated lifetime. We used female age-adjusted life tables for Manitoba to adjust the probabilities from remission to death in order to account for the incremental mortality risk over the extrapolated time [42].

Adjuvant chemotherapy regimens

In Canada, from 2000–2002, two adjuvant chemotherapy regimens were recommended for women with ER+/ PR + LN- ESBC: (1) 6 cycles of cyclophosphamide, methotrexate, 5-fluorouracil (CMF) or (2) anthracycline-containing chemotherapy regimen such as 4 cycles of doxorubicin (adriamycin), cyclophosphamide (AC) or 6 cycles of fluorouracil, doxorubicin, cyclophosphamide (FAC) [4]. Four cycles of AC has been used preferentially as a component of chemotherapy regimens for the adjuvant treatment of ESBC [43]. Recently, chemotherapy regimens containing taxanes, such as 6 cycles of docetaxel, doxorubicin, cyclophosphamide (TAC), have been recommended for the LN- ESBC population [44].

The majority of adjuvant chemotherapy-treated women in our study cohort received anthracycline-containing adjuvant chemotherapy regimens (Table 3). Information on specific chemotherapy agents (e.g. CMF, AC, FAC, and TAC) was not available. We assumed patients who received non-anthracycline-containing adjuvant chemotherapy regimens received 6 cycles of CMF; that patients who received anthracycline-containing adjuvant chemotherapy regimens with no added taxanes received four cycles of AC; and that patients who received anthracycline and taxane-containing adjuvant chemotherapy regimens received 6 cycles of TAC. Thus, in the base case analysis, we used the weighted average cost of CMF, AC and TAC.

Table 3. Characteristics of 489 patients diagnosed during the time period of 2000 to 2002 with ER + or PR + 1–3 LN + ESBC stratified by menopausal status and risk of recurrence using Canadian clinical practice guidelines

Anthracycline-containing regimens may have a survival advantage compared to CMF regimens [45]. However, other studies showed anthracycline-containing regimens to have equivalent clinical outcomes compared to CMF regimens, particularly in women with favourable prognostic features (LN-, ER+/PR+) such as our study cohort [4,46,47]. Thus, in sensitivity analysis we considered each of the CMF, AC, FAC and TAC regimens separately as the standard adjuvant chemotherapy regimen for women with ER+/ PR + LN- ESBC.

Adjuvant chemotherapy-related serious adverse effects (CSAE)

We defined CSAE as hospitalization for any of the following eight diagnoses (as defined by their ICD-9-CM diagnosis and procedure codes) occurring within one year of diagnosis with ESBC: 1) abnormal electrolytes or dehydration; 2) constitutional symptoms and nonspecific symptoms associated with therapy; 3) nausea, emesis, and diarrhea; 4) infection and fever; 5) malnutrition; 6) anemia and red cell transfusion; 7) neutropenia or thrombocytopenia; 8) deep venous thrombosis or pulmonary embolus [48,49]. These diagnoses were selected based on their association with chemotherapy in previous clinical trials [3]. We estimated the incremental rate of occurrence of CSAEs from the frequency of occurrence of these ICD-9 codes in hospital abstracts of adjuvant chemotherapy recipients versus non-recipients, stratified by menopausal status and adjusting for comorbidity indices using the method developed by Charlson et al. excluding cancer diagnoses [50].


Treatment costs, including surgery, radiation therapy, chemotherapy, endocrine therapy, surveillance, and CSAE, are all publicly funded in Manitoba and are thus recorded in the administrative databases. For each patient in the studied cohort we gathered all treatment costs for the first 7 years following diagnosis with primary breast cancer (Table 2). We used this to estimate the cost per unit time in each Markov state.


The baseline utility for post-menopausal women aged 50 to 80 was 0.824 and for premenopausal women aged 20 to 49 was 0.89, based on representative values for the U.S. population [51]. We derived utilities for each health state by multiplying these baseline utility values by utility estimates for women with early-stage breast cancer [41,52-55] (Table 2). We performed sensitivity analysis on the utility values after chemotherapy to account for potential long term side effects of primary adjuvant chemotherapy [56].


Patient, tumour, treatment and event characteristics of the study cohort are summarized in Table 3. There were 109 pre-menopausal and 389 post-menopausal women diagnosed with ER+/ PR + LN- ESBC in Manitoba from January 1, 2000 to December 31, 2002. The median age was 44 years (range 29–49 years) in pre-menopausal women and 62 years (range 50–88) in post-menopausal women. All pre- and post-menopausal women received surgery (mastectomy or breast-conserving surgery) for their primary breast cancer. Adjuvant therapy including radiation therapy, endocrine therapy (tamoxifen or aromatase inhibitors) and chemotherapy were administered in 63%, 81% and 69% of pre-menopausal women, respectively, and in 52%, 79% and 19% of post-menopausal women, respectively.

In pre-menopausal women, the RS-assay led to an increase of 0.05 QALY per person and decrease in cost of $50 per person resulting in a cost saving compared to CCP. In post-menopausal women, the RS-assay led to an increase of 0.062 QALY per person and an increase in cost of $3,700 per person, resulting in an incremental cost effectiveness ratio (ICER) of approximately $60,000 per QALY gained compared to CCP.

Sensitivity analysis

In the base case we compared the RS assay versus CCP when the weighted average cost of CMF, AC and TAC was used. We considered each of CMF, AC, FAC and TAC regimens separately as the standard adjuvant chemotherapy regimen for women with ER+/ PR + LN- ESBC in sensitivity analysis. In premenopausal women, the RS-assay stayed cost saving with each of CMF, AC, FAC and TAC regimens. In post-menopausal women, the RS-assay had an ICER of $59,800 per QALY gained with CMF, $58,200 per QALY gained with AC, $65,000 per QALY gained with FAC and $83,100 per QALY gained with TAC. The utility during chemotherapy and the rates and costs of CSAE did not substantially influence the results with any regimen.

We performed threshold analyses on the proportion of chemotherapy-treated women classified as being in the intermediate risk group by the RS-assay, on the risk of relapse in the RS-assay model and other parameters found to influence our base case analyses (Tables 4 and 5). Among pre-menopausal women, the RS-assay generated negative incremental cost and effect (the RS-assay led to decrease in both cost and effect) and when fewer than 43% of women in the RS-assay intermediate risk group received adjuvant chemotherapy. Among postmenopausal women, the RS-assay was dominated by CCP when fewer than 31% of women in the RS-assay intermediate risk group received adjuvant chemotherapy. When the absolute risk of relapse in the RS-assay model increased by approximately 2% in either pre- or post-menopausal women, the RS-assay would be dominated by CCP or associated with negative incremental cost and effect.

Table 4. Summary of important one-and two way sensitivity analysesa

Table 5. Summary of important one-and two way sensitivity analysesa

We also performed a probabilistic sensitivity analysis (Figure 2) comparing the RS-assay versus CCP. We simultaneously varied all parameters (probabilities, utilities and costs) using appropriate distributions (Table 2). In pre-menopausal women, using a willingneess to pay threshold of $100,000 per QALY gained, we found that the RS-assay was the prefered strategy in 54% of simulations (Figure 2a and b). In post-menopausal women, we found that the RS-assay was the prefered strategy in 62% of simulations (Figure 2c and d).

thumbnailFigure 2. Incremental cost-effectiveness scatterplot and acceptability curve of RS-assay-guided therapy versus CCP-guided therapy for pre- and post-menopausal women. Sampling distributions and summary estimates of cost, efficacy, and variance were based on 1000 replicates.


We developed a decision-analytic model to evaluate the cost effectiveness of the RS-assay versus CCP in ER+/ PR + LN- ESBC. In the base case we estimated that the RS-assay generated cost savings in pre-menopausal women and has an ICER of $60,000 per QALY gained in post-menopausal women.

In Canada, an ICER threshold of $100,000 per QALY gained has been suggested as representing “weak evidence for adoption and appropriate utilization” [27,57], although there is no evidence that any Canadian decision-making body has formally implemented this threshold [58]. The ICERs of the RS-assay in post-menopausal women were within ranges of a number of cancer treatments that have recently been approved in Canada. For instance, sorafinib has an estimated ICER of $75,821 per life year gained for the treatment of hepatocellular carcinoma and has been approved for funding in Ontario through the Exceptional Access Program [59]. Sunitinib has been funded in all Canadian provinces for first-line treatment of metastatic renal-cell carcinoma with an ICER of $144,000 per QALY gained [60].

Previous cost-effectiveness analyses of the RS-assay in ER+/ PR + LN- ESBC population have several limitations and may not be applicable in the Canadian context. One study [18] did not incorporate results from NSABP B20 [9], which established the relationship between the RS-assay and the benefit from using chemotherapy. Another two studies [19,20] included results from NSABP B20 [19]; however, the treatment strategies that they compared (tamoxifen alone for everyone and tamoxifen and chemotherapy for everyone) do not reflect observed clinical practice in Canada (Table 3). Other studies from Israel [22] and Japan [21] did not incorporate all early stage breast cancer complications such as local or regional recurrence. Two recent studies [23,24] were conducted from the Canadian health care payer’s perspective; however, the first analysis [23] did not address all the limitations mentioned above, and modeling the current experience of ER+/ PR + LN- ESBC population with regard to survival in both analyses [23,24] was not based on Canadian data and real world clinical practice. In all studies there was no differentiation in adjuvant chemotherapy practice between pre- and post-menopausal women as recommended by Canadian guidelines [4], whereas we observed differences in clinical practice for these two groups (Table 3).

Adjuvant chemotherapy is a widely recommended treatment in ER+/ PR + LN- ESBC [15]. Thus, some have suggested that large cost savings can be expected by avoiding chemotherapy treatment in 25% to 35% of patients based on the results of the RS-assay [15]. Our analysis suggests that cost savings may be possible in pre-menopausal women, due the wide use of chemotherapy in this group, but would likely not occur with post-menopausal women with ER+/ PR + LN- ESBC.

In sensitivity analysis we addressed the economic impact of uncertainty in clinical guidelines for intermediate-range RS-assay values (18–30) [61]. Our analysis demonstrated that the ability of the RS-assay to guide treatment decisions in the intermediate risk group likely will be important in determining whether the RS-assay will be a cost-effective use of resources. If fewer than 43% of pre-menopausal and 31% of post-menopausal women identified as intermediate risk by the RS-assay received adjuvant chemotherapy, then the RS-assay had negative health effects compared to CCP. An ongoing prospective clinical trial will further assess the predictive value of the assay in women in the intermediate risk group and will be helpful in verifying our results [10]. However, findings from this trial will not be available for 5 to 10 years whereas an adoption decision will need to be made prior to having the results of this trial.

Our analysis has several limitations. First, there are limits to what can be ascertained through administrative data. Although the Manitoba Cancer Registry is a highly accurate source of information about breast cancer [28], errors in coding can result in incorrect or unrecorded procedures. However, wherever possible we cross validated across databases. For instance, information on breast cancer treatments including surgery, radiation therapy, endocrine therapy and chemotherapy can be found in both the Manitoba Cancer Registry and the administrative databases held by Manitoba Health and Healthy Living. Second, validation data for the 21-gene assay was based on retrospective analyses of the NSABP chemotherapy-tamoxifen trials (B-14 and B-20) conducted in the United States [9,11]. Thus, survival outcomes by the RS-assay may not reflect the experience of the ER+/PR + LN- ESBC identified in Manitoba due to possible differences in patient and tumour characteristics and treatments. Results from future prospective analyses of the assay in real-world clinical practice and in Canadian settings can be used to update our model and verify our results. Third, there is still uncertainty as to whether chemotherapy is necessary for women who fall in the intermediate risk group by the RS-assay [10]. Fourth, newer third generation anthracycline-taxane regimens have different costs and slightly better efficacy so analysis with such data would be more applicable to the current practice landscape. In addition, our analysis did not account for growing data on long term side effects of primary adjuvant chemotherapy such as cardiomyopathy, neuropathy, leukemia [56]. Finally, although several studies have found that clinical practice patterns and therapies employed in the selected time periods in Manitoba reflect practice in other jurisdictions in Canada [62-64], differences in clinical practice for women with ER+/PR + LN- ESBC and its associated costs across Canadian provinces may still exist.


We compared the RS-assay versus current clinical practice in ER+/ PR + LN- ESBC for both pre- and post-menopausal women. We found that it is likely to be cost-saving for pre-menopausal women and to have an ICER that is within ranges of a number of cancer treatments recently approved for funding in Canada for post-menopausal women. Validation of the assay in real-world clinical practice is warranted to verify the retrospective analyses of this assay in clinical trials and ensure its cost-effectiveness for routine use in this population.

Competing interest

The authors declare that they have no competing interest.

Authors' contributions

MBH designed the study, performed the statistical analysis and drafted the manuscript. BX participated in the design of the study and coordination. MB participated in the design of the study and coordination. GSZ participated in the design of the study, participated in statistical analysis and drafting the manuscript. All authors read and approved the final manuscript.


This work was supported by the Canadian Institutes of Health Research (CIHR) Strategic Training Program in Cancer Research and Technology Transfer (CaRTT); an Academic Development Grant from the University of Western Ontario; and the Natural Sciences and Engineering Research Council of Canada (NSERC) GSZ was supported by the Canada Research Chairs Program. The authors’ work was independent of the funders and the funding sources had no involvement in the study design or conduct of the study; collection, management, analysis or interpretation of the data; or preparation, review or approval of the manuscript.


We are indebted to the Department of Epidemiology and Cancer Registry of Cancer Care Manitoba, and the Department of Health Information Management of Manitoba Health for the provision of data. The results and conclusions presented are those of the authors. No official endorsement by Cancer Care Manitoba and Manitoba Health is intended or should be inferred. We are indebted to the NSABP investigators who provided some summary statistical estimates from B-14 and B-20.


  1. Canadian Cancer Society/National Cancer Institute of Canada: Canadian Cancer Statistics. Toronto, Canada; 2011. OpenURL

  2. Ghafoor A, Jemal A, Ward E, Cokkinides V, Smith R, Thun M: Trends in breast cancer by race and ethnicity.

    CA Cancer J Clin 2003, 53:342-355. PubMed Abstract | Publisher Full Text OpenURL

  3. Shapiro CL, Recht A: Side effects of adjuvant treatment of breast cancer.

    N Engl J Med 2001, 344:1997-2008. PubMed Abstract | Publisher Full Text OpenURL

  4.  : Adjuvant systemic therapy for women with node-negative breast cancer. The Steering Committee on Clinical Practice Guidelines for the Care and Treatment of Breast Cancer.

    CMAJ 1998, 3(158):S43-S51. OpenURL

  5. Henderson IC, Patek AJ: The relationship between prognostic and predictive factors in the management of breast cancer.

    Breast Cancer Res Treat 1998, 52:261-288. PubMed Abstract | Publisher Full Text OpenURL

  6. Hayes DF, Trock B, Harris AL: Assessing the clinical impact of prognostic factors: when is "statistically significant" clinically useful?

    Breast Cancer Res Treat 1998, 52:305-319. PubMed Abstract | Publisher Full Text OpenURL

  7. Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, Baehner FL, Walker MG, Watson D, Park T, Hiller W, Fisher ER, et al.: A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

    N Engl J Med 2004, 351:2817-2826. PubMed Abstract | Publisher Full Text OpenURL

  8. Cobleigh MA, Tabesh B, Bitterman P, Baker J, Cronin M, Liu ML, Borchik R, Mosquera JM, Walker MG, Shak S: Tumor gene expression and prognosis in breast cancer patients with 10 or more positive lymph nodes.

    Clin Cancer Res 2005, 11:8623-8631. PubMed Abstract | Publisher Full Text OpenURL

  9. Paik S, Tang G, Shak S, Kim C, Baker J, Kim W, Cronin M, Baehner FL, Watson D, Bryant J, Costantino JP, Geyer CE Jr, et al.: Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.

    J Clin Oncol 2006, 24:3726-3734. PubMed Abstract | Publisher Full Text OpenURL

  10. Zujewski JA, Kamin L: Trial assessing individualized options for treatment for breast cancer: the TAILORx trial.

    Future Oncol 2008, 4:603-610. PubMed Abstract | Publisher Full Text OpenURL

  11. Mamounas EP, Tang G, Fisher B, Paik S, Shak S, Costantino JP, Watson D, Geyer CE Jr, Wickerham DL, Wolmark N: Association between the 21-gene recurrence score assay and risk of locoregional recurrence in node-negative, estrogen receptor-positive breast cancer: results from NSABP B-14 and NSABP B-20.

    J Clin Oncol 2010, 28:1677-1683. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  12. Hall PS, McCabe C, Brown JM, Cameron DA: Health economics in drug development: efficient research to inform healthcare funding decisions.

    Eur J Cancer 2010, 46:2674-2680. PubMed Abstract | Publisher Full Text OpenURL

  13. National Comprehensive Cancer Network:

    Clinical Practice Guidelines in Oncology Breast Cancer, (version 2.2008). 2010. webcite. Accessed on November 18, 2010


  14. Harris L, Fritsche H, Mennel R, Norton L, Ravdin P, Taube S, Somerfield MR, Hayes DF, Bast RC Jr: American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer.

    J Clin Oncol 2007, 25:5287-5312. PubMed Abstract | Publisher Full Text OpenURL

  15. Ragaz J: The 21-gene assay: impact on breast cancer in Canada. In Report Card on Cancer in Canada. 12th edition. Edited by Emerson D, Major P. Winter: Cancer Advocacy Coalition of Canada; 2009–2010. OpenURL

  16. Ragaz J: The 21-Gene Assay, Part 2, Canada’s Uneven Response.

    Report Card on Cancer in Canada 13th edition. 2010–2011, 41-43. OpenURL

  17. Ontario Health Technology Advisory Committee (OHTAC) Recommendation:

    Multi-gene expression profiling for guiding adjuvant chemotherapy decisions in women with early breast cancer. 2010. webcite. Accessed on May 5, 2012


  18. Hornberger J, Cosler LE, Lyman GH: Economic analysis of targeting chemotherapy using a 21-gene RT-PCR assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer.

    Am J Manag Care 2005, 11:313-324. PubMed Abstract | Publisher Full Text OpenURL

  19. Lyman GH, Cosler LE, Kuderer NM, Hornberger J: Impact of a 21-gene RT-PCR assay on treatment decisions in early-stage breast cancer: an economic analysis based on prognostic and predictive validation studies.

    Cancer 2007, 109:1011-1018. PubMed Abstract | Publisher Full Text OpenURL

  20. Kondo M, Hoshi SL, Ishiguro H, Yoshibayashi H, Toi M: Economic evaluation of 21-gene reverse transcriptase-polymerase chain reaction assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer in Japan.

    Breast Cancer Res Treat 2008, 112:175-187. PubMed Abstract | Publisher Full Text OpenURL

  21. Kondo M, Hoshi SL, Yamanaka T, Ishiguro H, Toi M: Economic evaluation of the 21-gene signature (Oncotype DX) in lymph node-negative/positive, hormone receptor-positive early-stage breast cancer based on Japanese validation study (JBCRG-TR03).

    Breast Cancer Res Treat 2011, 127:739-749. PubMed Abstract | Publisher Full Text OpenURL

  22. Klang SH, Hammerman A, Liebermann N, Efrat N, Doberne J, Hornberger J: Economic Implications of 21-Gene Breast Cancer Risk Assay from the Perspective of an Israeli-Managed Health-Care Organization.

    Value Health 2010, 13:381-387. PubMed Abstract | Publisher Full Text OpenURL

  23. Tsoi DT, Inoue M, Kelly CM, Verma S, Pritchard KI: Cost-effectiveness analysis of recurrence score-guided treatment using a 21-gene assay in early breast cancer.

    Oncologist 2010, 15:457-465. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  24. Lamond NW, Skedgel C, Rayson D, Lethbridge L, Younis T: Cost-utility of the 21-gene recurrence score assay in node-negative and node-positive breast cancer.

    Breast Cancer Res Treat 2012, 133:1115-1123. PubMed Abstract | Publisher Full Text OpenURL

  25. Flanagan MB, Dabbs DJ, Brufsky AM, Beriwal S, Bhargava R: Histopathologic variables predict Oncotype DX recurrence score.

    Mod Pathol 2008, 21:1255-1261. PubMed Abstract | Publisher Full Text OpenURL

  26. Sonnenberg FA, Beck JR: Markov models in medical decision making: a practical guide.

    Med Decis Making 1993, 13:322-338. PubMed Abstract | Publisher Full Text OpenURL

  27. Laupacis A: Economic evaluations in the canadian common drug review.

    PharmacoEconomics 2006, 24:1157-1162. PubMed Abstract | Publisher Full Text OpenURL

  28. Latosinsky S, Fradette K, Lix L, Hildebrand K, Turner D: Canadian breast cancer guidelines: have they made a difference?

    CMAJ 2007, 176:771-776. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  29. The American Joint Committee on Cancer Staging Manual 5th edition. Edited by Fleming ID, Cooper JS, Henson D. Philadelphia: Lippincott-Raven Publishers; 1997.

  30. Slamon DJ, Clark GM, Wong SG, Levin WJ, Ullrich A, McGuire WL: Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene.

    Science 1987, 235:177-182. PubMed Abstract | Publisher Full Text OpenURL

  31. Popescu NC, King CR, Kraus MH: Localization of the human erbB-2 gene on normal and rearranged chromosomes 17 to bands q12-21.32.

    Genomics 1989, 4:362-366. PubMed Abstract | Publisher Full Text OpenURL

  32. Schechter AL, Hung MC, Vaidyanathan L, Weinberg RA, Yang-Feng TL, Francke U, Ullrich A, Coussens L: The neu gene: an erbB-homologous gene distinct from and unlinked to the gene encoding the EGF receptor.

    Science 1985, 229:976-978. PubMed Abstract | Publisher Full Text OpenURL

  33. Slamon DJ, Clark GM: Amplification of c-erbB-2 and aggressive human breast tumors?

    Science 1988, 240:1795-1798. PubMed Abstract | Publisher Full Text OpenURL

  34. Huober J, Fasching PA, Barsoum M, Petruzelka L, Wallwiener D, Thomssen C, Reimer T, Paepke S, Azim HA, Ragosch V, Kubista E, Baumgartner AK, et al.: Higher efficacy of letrozole in combination with trastuzumab compared to letrozole monotherapy as first-line treatment in patients with HER2-positive, hormone-receptor-positive metastatic breast cancer - results of the eLEcTRA trial.

    Breast 2012, 21:27-33. PubMed Abstract | Publisher Full Text OpenURL

  35. Gajdos C, Tartter PI, Bleiweiss IJ: Lymphatic invasion, tumor size, and age are independent predictors of axillary lymph node metastases in women with T1 breast cancers.

    Ann Surg 1999, 230:692-696. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  36. Albanell J, Colomer R, Ruiz-Borrego M, et al.:

    Prospective TRANSGEICAM Study of OncotypeDX® in clinical decision making in estrogen receptor positive node negative breast cancer women [abstract]. 35th European Society for Medical Oncology (ESMO) Congress. 2010.

    Abstract 222PD


  37. Oratz R, Paul D, Cohn AL, Sedlacek SM: Impact of a commercial reference laboratory test recurrence score on decision making in early-stage breast cancer.

    J Oncol Pract 2007, 3:182-186. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  38. Asad J, Jacobson AF, Estabrook A, Smith SR, Boolbol SK, Feldman SM, Osborne MP, Boachie-Adjei K, Twardzik W, Tartter PI: Does oncotype DX recurrence score affect the management of patients with early-stage breast cancer?

    Am J Surg 2008, 196:527-529. PubMed Abstract | Publisher Full Text OpenURL

  39. Erb C, Fox KR, Patel M, et al.: Evaluation of practice patterns in the treatment of node-negative, hormone-receptor positive breast cancer patients with the use of the oncotype DX assay at the University of Pennsylvania. Presentation at the 30th Annual San Antonio Breast Cancer Symposium. San Antonio, TX; 2007.

    Abstract 3082


  40. Lo SS, Mumby PB, Norton J, Rychlik K, Smerage J, Kash J, Chew HK, Gaynor ER, Hayes DF, Epstein A, Albain KS: Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection.

    J Clin Oncol 2010, 28:1671-1676. PubMed Abstract | Publisher Full Text OpenURL

  41. Wolowacz SE, Cameron DA, Tate HC, Bagust A: Docetaxel in combination with doxorubicin and cyclophosphamide as adjuvant treatment for early node-positive breast cancer: a cost-effectiveness and cost-utility analysis.

    J Clin Oncol 2008, 26:925-933. PubMed Abstract | Publisher Full Text OpenURL

  42. Statistics Canada/Health Statistics Division: Life Tables, Canada and the Provinces, 2000–2002. Ottawa, Ontario, Canada: Minister of Industry, publication; 2006.


    PubMed Abstract OpenURL

  43. Gluck S: Adjuvant chemotherapy for early breast cancer: optimal use of epirubicin.

    Oncologist 2005, 10:780-791. PubMed Abstract | Publisher Full Text OpenURL

  44. Martin M, Segui MA, Anton A, Ruiz A, Ramos M, Adrover E, Aranda I, Rodriguez-Lescure A, Grosse R, Calvo L, Barnadas A, Isla D, et al.: Adjuvant docetaxel for high-risk, node-negative breast cancer.

    N Engl J Med 2010, 363:2200-2210. PubMed Abstract | Publisher Full Text OpenURL

  45.  : Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. 365th edition. Lancet; 2005:1687-1717. OpenURL

  46. Hutchins LF, Green SJ, Ravdin PM, Lew D, Martino S, Abeloff M, Lyss AP, Allred C, Rivkin SE, Osborne CK: Randomized, controlled trial of cyclophosphamide, methotrexate, and fluorouracil versus cyclophosphamide, doxorubicin, and fluorouracil with and without tamoxifen for high-risk, node-negative breast cancer: treatment results of Intergroup Protocol INT-0102.

    J Clin Oncol 2005, 23:8313-8321. PubMed Abstract | Publisher Full Text OpenURL

  47. Martin M, Villar A, Sole-Calvo A, Gonzalez R, Massuti B, Lizon J, Camps C, Carrato A, Casado A, Candel MT, Albanell J, Aranda J, et al.: Doxorubicin in combination with fluorouracil and cyclophosphamide (i.v. FAC regimen, day 1, 21) versus methotrexate in combination with fluorouracil and cyclophosphamide (i.v. CMF regimen, day 1, 21) as adjuvant chemotherapy for operable breast cancer: a study by the GEICAM group.

    Ann Oncol 2003, 14:833-842. PubMed Abstract | Publisher Full Text OpenURL

  48. Hassett MJ, O'Malley AJ, Pakes JR, Newhouse JP, Earle CC: Frequency and cost of chemotherapy-related serious adverse effects in a population sample of women with breast cancer.

    J Natl Cancer Inst 2006, 98:1108-1117. PubMed Abstract | Publisher Full Text OpenURL

  49. Du XL, Osborne C, Goodwin JS: Population-based assessment of hospitalizations for toxicity from chemotherapy in older women with breast cancer.

    J Clin Oncol 2002, 20:4636-4642. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  50. Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

    J Chronic Dis 1987, 40:373-383. PubMed Abstract | Publisher Full Text OpenURL

  51. Hanmer J, Lawrence WF, Anderson JP, Kaplan RM, Fryback DG: Report of nationally representative values for the noninstitutionalized US adult population for 7 health-related quality-of-life scores.

    Med Decis Making 2006, 26:391-400. PubMed Abstract | Publisher Full Text OpenURL

  52. Smith TJ, Hillner BE: The efficacy and cost-effectiveness of adjuvant therapy of early breast cancer in premenopausal women.

    J Clin Oncol 1993, 11:771-776. PubMed Abstract | Publisher Full Text OpenURL

  53. Desch CE, Hillner BE, Smith TJ, Retchin SM: Should the elderly receive chemotherapy for node-negative breast cancer? A cost-effectiveness analysis examining total and active life-expectancy outcomes.

    J Clin Oncol 1993, 11:777-782. PubMed Abstract | Publisher Full Text OpenURL

  54. Earle CC, Chapman RH, Baker CS, Bell CM, Stone PW, Sandberg EA, Neumann PJ: Systematic overview of cost-utility assessments in oncology.

    J Clin Oncol 2000, 18:3302-3317. PubMed Abstract | Publisher Full Text OpenURL

  55. Fryback DG, Lawrence WF Jr: Dollars may not buy as many QALYs as we think: a problem with defining quality-of-life adjustments.

    Med Decis Making 1997, 17:276-284. PubMed Abstract | Publisher Full Text OpenURL

  56. Kornblith AB, Herndon JE 2nd, Weiss RB, Zhang C, Zuckerman EL, Rosenberg S, Mertz M, Payne D, Jane Massie M, Holland JF, Wingate P, Norton L, et al.: Long-term adjustment of survivors of early-stage breast carcinoma, 20 years after adjuvant chemotherapy.

    Cancer 2003, 98:679-689. PubMed Abstract | Publisher Full Text OpenURL

  57. Laupacis A, Feeny D, Detsky AS, Tugwell PX: Tentative guidelines for using clinical and economic evaluations revisited.

    CMAJ 1993, 148:927-929. PubMed Abstract | PubMed Central Full Text OpenURL

  58. Rocchi A, Menon D, Verma S, Miller E: The role of economic evidence in Canadian oncology reimbursement decision-making: to lambda and beyond.

    Value Health 2008, 11:771-783. PubMed Abstract | Publisher Full Text OpenURL

  59. Muszbek N, Shah S, Carroll S, McDonald H, Dale P, Maroun J, Knox J: Economic evaluation of sorafenib in the treatment of hepatocellular carcinoma in Canada.

    Curr Med Res Opin 2008, 24:3559-3569. PubMed Abstract | Publisher Full Text OpenURL

  60. Chabot I, Rocchi A: How do cost-effectiveness analyses inform reimbursement decisions for oncology medicines in Canada? The example of sunitinib for first-line treatment of metastatic renal cell carcinoma.

    Value Health 2010, 13:837-845. PubMed Abstract | Publisher Full Text OpenURL

  61. Ioannidis JP: Is molecular profiling ready for use in clinical decision making?

    Oncologist 2007, 12:301-311. PubMed Abstract | Publisher Full Text OpenURL

  62. Cree M, Tonita J, Turner D, Nugent Z, Alvi R, Barss R, King C, Winget M: Comparison of treatment received versus long-standing guidelines for stage III colon and stage II/III rectal cancer patients diagnosed in Alberta, Saskatchewan, and Manitoba in 2004.

    Clin Colorectal Cancer 2009, 8:141-145. PubMed Abstract | Publisher Full Text OpenURL

  63. Baunemann Ott CL, Ratna N, Prayag R, Nugent Z, Badiani K, Navaratnam S: Survival and treatment patterns in elderly patients with advanced non-small-cell lung cancer in Manitoba.

    Curr Oncol 2011, 18:e238-e242. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  64. Cooke AL, Appell R, Suderman K, Fradette K, Latosinsky S: Radiation treatment waiting times for breast cancer patients in Manitoba, 2001 and 2005.

    Curr Oncol 2009, 16:58-64. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  65. Oratz R, Chao C, Skrzypezak S, et al.: Effect of a 21-gene reverse-transcriptase polymerase chain reaction assay on treatment recommendations for patients with lymph node-positive and estrogen receptor-positive breast cancer.

    Cancer Res 2009, 69(24): .

    abstract 2031

    PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  66. Mink D, von Tongelen B, Villena-Heinsen C, Heiss C, Schmidt W: Breast cancer and prognostic factors. Tumour size, degree of differentiation, proliferation kinetics and expression of steroid hormone receptors.

    Eur J Gynaecol Oncol 1994, 15:424-436. PubMed Abstract OpenURL

Pre-publication history

The pre-publication history for this paper can be accessed here: